Professor Irene Hudson
School of Mathematical and Physical Sciences (Statistics)
Conjoint Professor MAPS
Department of Statistics, Data Science & Epidemiology, Swinburne University of Technology, HAWTHORN, VIC, 3122
Faculty Science and IT, University of Newcastle, NSW
PREFERABLE EMAIL CONTACT: email@example.com
Professor Irene Hudson joined the Department of Statistics, Data Science & Epidemiology, ( SDSE) Swinburne University in March 2017. She is an Elected Fellow of the Royal Statistical Society UK, holds Adjunct positions at the University of Newcastle and the University of Melbourne and is a member of the ARC Centre of Excellence for Nanoscale BioPhotonics. She is the Leader of Health Analytics at Swinburne University. Hudson collaborates with the Research Institute of Data Science at Swinburne and with the Centre for Human Psychopharmacolgy and the Centre for Forensic Beahavioural Science at Swinburne.
Mapping /modelling/visualization of micro systems (brain voxels, molecules, wood anatomy) and macro systems (global disease, global tobacco use with the WHO, climate change, risk and prevalence estimation) underpins Hudson’s research, along with computational intelligence. Irene has over 25 years experience in academia having held posts at the University of Cambridge UK, ANU, The University of Melbourne, Canterbury University NZ, UniSA and Newcastle University. Her academic research has been aligned with active consulting with the biomedical and health sector industry, the forest industry, and in climatics and health.
Prior to coming to Swinburne, Professor Hudson had earlier academic roles as the Founding Head of the Biostatistics Unit at RCH (The University of Melbourne), and as Sub-Program Leader of the CRC HFPS, University of Melbourne, where her group mathematically mapped wood fibre, tree microstructure as a spatio-temporal grid, this in collaboration with CSIRO Forest Products, Monash University - this research was aligned with the pulp and paper industry in Australasia as industry partners.
Professor Hudson has an international reputation in developing analytics for climate change research, with her work with the University of Melbourne, reported to the IPCC 2014. She is a Keynote speaker in 2018 at 2 international Phenology conferences. Her research advances analytics in climate change phenology with current research and an earlier 2010 Springer book (Hudson authored 9 of the 20 chapters); Irene L Hudson & Marie R. Keatley (eds) (2010) “Phenological Research: Methods for Environmental and Climate Change Analysis”, 552p, Springer ISBN: 978-90-481-3334-5.
Currently Hudson is advancing big data analytics and likewise works on a new stroke device, ArMM, (as 1 of 3 inventors) (ARM MOVEMENT MEASURE (ArMM) FOR STROKE RECOVERY, 23rd February 2016. http://newcastleinnovation.com.au/portfolio-items/arm-movement-measure-armm-for-stroke-recovery-2/)- this stroke research is funded by an NHMRC DG 2015-2017.
Hudson currently collaborates with external research organisations developing methods as follows:
 The WHO Tobacco Free Initiative (TFI) on global health and tobacco control (WHO grants);
 Imperial College London on Bayesian longitudinal methods and prevalence estimates;
 The Appleton Institute for Behavioural Science, Human Factors and Safety, CqU on modelling work/rest/sleep scheduling to minimise fatigue in the railway industry
 The Hunter Medical Research Institute (HMRI) on stroke, and on modelling physical & mental health, with respect to sleep, morbidity with mortality.
Hudson engages on social, quantitative and qualitative research with the NSW Bureau of Crime Statistics on Assessing Impact of Mandatory DNA Testing of NSW Prison Inmates on Clearance, Charge & Conviction Rates; Statistics NZ on voting patterns and the ABS on health surveillance.
Research Interests: Advanced Statistics and Big Data; Health Promotion; Public and Environmental Health; Neuroscience; Data Visualisation; Mathematical modelling; Biostatistics; Epidemiology; Health research design; Psychological Measurement.
Professor Irene Hudson is a mathematical statistician with an international reputation in the development of new methods for climate change research and methods to analyse markers/indicators in the diverse research areas of drug discovery, health informatics, bio-informatics and bio-statistics, and in stroke and brain research.
Mapping /modelling of micro systems (brain voxels, molecules, wood anatomy) and macro systems (global disease, climate change, prevalence, meta-analysis) underpins this work, along with computational intelligence.
Hudson’s current health research involves - causality and non-compliance in clinical trials, modelling agitation and sedation status in ICU, missing data methods, drug discovery, trajectory modelling of growth, sleep research and transient state systems in climate and health, QoL, health and safety, (co)morbidity; the creation of depression constructs for patient-specific drug treatment, and novel statistical methods development to estimate prevalence of global tobacco use (with the WHO, Geneva and Tokyo University).
Professor Hudson has held academic lecturing and academic research positions at The University of Melbourne, The Australian National University (ANU), Cambridge University (UK), University of South Australia, the University of Canterbury (UC), New Zealand) and currently at The University of Newcastle.
During her position at the University of Canterbury Professor Hudson’s main areas of research focus were medical bio-engineering applications, clinical trials research and global climate change research.
From 1999-2004 Hudson was Director of the Research Centre for Health Care Technology, NZ.
Adjunct posts: Current Adjunct positions at
- The School of Forest and Ecosytem Science, The University of Melbourne (2006-2017),
- Chemistry & Health Research, at the University of Adelaide (2010-2012)
- The School of Mathematics and Statistics, University of Canterbury, NZ (2006- 2011).
- Hudson is a member of the PRC Generational, Health and Ageing.
- Hudson is a member of the Priority Research Centre, CARMA at the University of Newcastle.
- Hudson is current member of the Editorial Board of Climatic Change.
- Collaborator with CSIRO Centre Climate and Weather, and the BoM, Melbourne.
- Hudson has served on the Editorial Board of Statistical Methods in Medical Research.
- Current member of the Editorial Board of Climatic Change, csbigs etc
- Hudson is current member of the Editorial Board of Climatic Change.
- Collaborator with CSIRO Centre Climate and Weather, and the BoM.
Research and translational works:
- Hudson recently adapted artificial intelligence methods, K ANNs and SOMs and also created new methods to model stochastic transitional state methods as applied to sleep/work scheduling of railway drivers. To appear as a chapter in a book entitled
"Artificial Neural Network (ANN) Modelling" in the Springer series, Studies in Computational Intelligence, Springer.
This research was funded by a CRC-rail industry Innovation grant - a collaboration with the Appleton Institute of Behavioural Science, Human Factors and Safety, CqU (Prof Drew Dawson, Adelaide campus) - focus on railway industry scheduling - fatigue mitigation.
- Also to appear is a chapter by Hudson et al. 2016 on artificial intelligence tools to identify best molecular drug candidates for the treatment of cataracts in the book "Artificial Neural Network (ANN) Modelling" in the Springer series, Studies in Computational Intelligence.
This is cheminformatics and drug discovery research in collaboration with The Australian National University, The University of Adelaide (School of Chemistry & Physics, Prof Andrew Abell) and GKSS Berlin.
The 4 works below are significant translational research bringing statistical and epidemiological thinking into the global climate change arena.
 Hudson co-edited a book on modelling climate (authored 9 chapters of 20 therein):
- Hudson Irene L & Marie R. Keatley (eds) (2010) “Phenological Research: Methods for Environmental and Climate Change Analysis”, 552p, Springer ISBN: 978-90-481-3334-5 (Print) 978-90-481-3335-2 (Online)
- Since 2010, 19,802 paid downloads on SpringerLink's, online platform and 56 citations (Bookmetrix, Springer; 6/12/15).
- As early as 2010, Hudson & Keatley's (2010) book was in the top 25% most downloaded eBooks in relevant Springer eBook Collection.
 In 2011, Hudson was an invited author of a chapter entitled
- Hudson (2011) Meta analysis in the Encyclopedia of Climate and Weather, Oxford University Press.
 Hudson's research was highlighted at the 2014 Inter-governmental Panel of Climate Chane (IPCC) meeting: IPCC 2014 reference:
- Chapter 18; table 18.7 pg 81 Cites Keatley, M. R., and I. L. Hudson, 2012: Detecting change in an Australian flowering record: Comparisons of linear regression and CUSUM change point analysis. Austral Ecol., 37, 825-835.
 As part of its 100th anniversary Hudson was invited to write a major work to the Climatic Change journal entitled
- Hudson (2010) “Interdisciplinary approaches: towards new statistical methods for phenological studies”, Climatic Change.
Hudson has international collaborations with experts in clinical trials (Prof O’Malley, Harvard), image analysis (BIOSS, Edinburgh), WHO (Comprehensive Information Systems, Geneva), Bayesian methods in health and ageing (Prof Sylvia Richardson, MRC Biostatistics Unit, Cambridge, UK and Silvia Liverani, Brunel University, London), ICU protocols and medical devices (Prof G Chase, Canterbury University, NZ), chemo-informatics (Nobel Laureate Prof Robert Grubbs, Caltech), Prof Andrew Abell (Chemistry, The University of Adelaide), Dr S Hudson, CHemistry ANU), climatics (P Morelatto and Prof Terry Root, Stanford University).
- Health care devices - stroke and hand coordination device
- funded by a NHMRC DG 2015-2017 and aNewcastle Innovation initiative,
- Drug industry - Molecular informatics/Chem-informatics (GKSS Berlin, UCSF, USA ANU and with Uni Adelaide),
- Rail industry (algorithms and modelling fatigue and sleep /duty/ off duty) (CRC Rail Innovation and CqU)
- Forest industry (with CSIRO, Melbourne UNiversity, Monash University, Appita, FRI NZ),
- Pulp and Paper industry (Wood informatics, CSIRO, Appi),
- Health informatics - tobacco control /health (WHO and Tokyo)
- Health Sector Biomedical devices -ICU sedation control, BioEngineering, University of Canterbury, NZ,
- CSIRO Climate and Weather,
- Bureau of Meteorology (BoM),
- Crime statistics - NSW Bureau of Crime Statistics
- Australian Bureau of Statistics (ABS),
- Statistics NZ, Wellington & Christchurch NZ (census and official statistics),
- National Institute Water & Atmospheric Research (NIWA), NZ
- NZ FRI (New Zealand Forest Research Institute)
Recent Adjunct positions: at the
- University of Melbourne (2006-2017)
- University of Canterbury, NZ (2006-2011)
- The Robinson Institute, Mothers and Babies, The University of Adelaide (2010-2012)
Hudson has an i-10 index of 64.0, h-index of 31.0 and 3,575 citations for a total of 198 publications.
Since 2011 have 1085 citations, i-index of 30 and h-index of 18.0.
Since 2010 to 2015 Hudson has published:
- 1 book (ed),
- 18 book chapters,
- 16 refereed peer reviewed journal papers,
- 21 refereed peer reviewed conference papers,
- 1 report to the WHO
- 1 major review in the Encyclopaedia Climate & Weather: Meta-Analysis (Oxford University Press),
- 48 conference presentations.
Recent funding (2007-2017 ) as CI on:
- 2015 National Health & Medical Research Council (NHMRC) Development Grant - stroke / hand function and brain imaging
- 2015 Department of Health/Ageing grant to assess global tobacco use prevalence (with the WHO Tobacco Free Initiative Comprehensive Information Systems)
- 2014 Department of Health/Ageing grant to assess global tobacco use prevalence (with the WHO Tobacco Free Initiative Comprehensive Information Systems)
- 2011 Australian Mathematics Society Teaching & Learning network grant (with QUT, CqU, UniSA, Adelaide Uni)
- 2014-2015 NSW Crime Statistics - grant with UoN (Hudson with Prof D Weatherburn and Dr Joanne Thandrayan)
- 2012 UoN grant on Hidden Markov Models (HMMs) (sleep and railway industry research)
- 2010-2012 CRC Rail Innovation grant with the Appleton Institute for Behavioural Science, Human Factors and Safety, CqU
(rail industry - sleep scheduling, work/health & safety)
- 2007-2010 ARC DP grant with Adelaide University (drug discovery)
- 2010- Premier Science Research Fund grant of SA (plant phenomics)
Research impact: Current research
[I] Drug discovery industry/chemo-informatics (2007-current):
- Prof Hudson leads a team to create new indicators of molecular ligand binding for drug discovery, with a focus on testing calpain inhibitors for cataract treatment (with ANU and Adelaide University and the GKSS, Berlin).
- Developing new generic druggability rules for the drug industry (with UniAdelaide, ANU).
- Both research areas initially funded by an ARC DP 2007-2010 (CIs Abell, Hudson, Grubbs)
- Current chapter in the series Studies in Computational intelligence (2016) Springer.
- Hudson presented this chemo-space visualization/clustering research at ASC 2014, ASEARC 2014, MODSIM 2013, ANZIAM 2013.
[II] Climate Change (long term, ongoing):
- Prof Hudson has an international reputation in climate change methods.
- Hudson has developed new statistical techniques for climate research - placing the southern hemisphere on the global climate change map.
- Hudson’s Australasian climate research was recently reported at the 2014 IPCC.
- Hudson et al.'s 2011 paper "Using Self-Organising Maps (SOMs) to assess synchronies”, in the International Journal Biometeorology was at the top of the top 20 articles in SOMs.
- Current models of flowering with budding developed (MODSIM 2015, MODSIM 2013 and Phenology 2012)
- The book by Hudson & Keatley (eds) (2010) “Phenological Research: Methods for Environmental and Climate Change Analysis” (Springer) (Hudson authored 9 chapters), and an invited chapter Meta-analysis for the Encyclopaedia of Climate & Weather (2011), OUP are significant translational research bringing stat/epi thinking into climate change research.
[III] Sleep, health and aging (Hunter Medical REsearch Institute, HMRI) (2011-current):
- Developed new latent class joint models of sleep and survival
- See Leigh, Hudson, Byles, Sleep Medicine 2014 and our paper in Journal of Ageing and Health 2015).
- Developing also state-of-the-art Bayesian clustering linking survival to covariates via clusters.
- This research was presented at 2014 Brunel University meeting in London on reliability engineering, medicine and biology (Liverani, Leigh, Hudson, 2014).
- Our models correlate sleep problems with specific diseases and with overall improved survival in the very old.
[IV] Human Factors and Sleep - Railway Industry scheduling - fatigue mitigation (2010 - current):
- Funded earlier by a CRC-railway industry grant in collaboration with the Appleton Institute Behavioural Science, Human Factors & Safety, CqU
- Hudson adapted artificial intellignce methods, ANNs and SOMs along with transitional state methods to sleep/work/domestic factors and scheduling.
- Presented a prelim work at the 2013 Workshop on Statistical Modelling, Palermo, Sicily.
- This work in a new book on Studies in Computational Intelligence 2016, Springer.
[V] WHO: New methods to model global tobacco use with the WHO, Geneva
- This research is to develop new rigorous statistical methods to model global tobacco use with the WHOis in collaboration with
Dr Edouard Tursan d'Espaignet, Coordinator Comprehensive Information Systems for Tobacco Control Free Initiative (TFI), (WHO, Geneva), Prof David Levy, Pacific Institute Research & Evaluation, University of Baltimore, USA, Prof IL Hudson and Drs Frank Tuyl and Trevor Moffet (MAPS).
- Builds on significant impact of team’s 2015 Lancet paper; 'Global trends and projections for tobacco use, 1990-2025: an analysis of smoking indicators from the WHO Comprehensive Information Systems for Tobacco Control',
The Lancet, 385 966-976 (2015). To date this paper has an altmetric score of 64.
- Recently funded by 2015 and 2014 Dept of Health and WHO TFI grant monies.
[VI] Image analysis/ psychometric constructs (2003-current):
- Prof Hudson (Turner, Hudson, 2003 NeuroImage) tackled the question of whether personality affects depression by mapping SPECT based cerebral blood flow with respect to Prof CR Cloninger’s psychometric Temperament and Character (TCI) traits, used as a diagnostic tool for personality disorders.
- All traits were shown to exhibit differential associations with 9 depression symptoms and distinctive patterns of functional brain activity. This provided mathematical evidence of a possible biological basis for depression (as hypothesised earlier by Cloninger).
- Neuroanatomical correlates of individual differences in the brain with all TCI scores were also found by independent component analyses (Kang, Hudson et al., 2013).
- This and Hudson’s GAMLSS and latent class trajectory research (2012, 2015) validates need for non-linear psychometric models (acknowledged by Prof CR Cloninger) which are also gender-specific, adding significant impetus for the creation of patient-specific drugs for depression.
 Health care devices - stroke and hand coordination device (funded by a 2015 NHMRC Development grant)
- Hudson is 1 of 3 inventors for ArMM - a portable motor rehab device to improve arm movement after stroke
- ArMM is a wearable motor rehabilitation device for use by patients, clinicians and researchers designed to improve arm movement following a stroke (Newcastle Innovation)
- ArMM on National Stroke Foundation facebook page: https://www.facebook.com/#!/strokefoundation
 Human Factors and Sleep - Railway Industry scheduling - fatigue mitigation:
- Algorithms and oprimisation of scheduling for fatigue minimisation in the railway industry - in collaboration with the Appleton Institute Behavioural Science, Human Factors & Safety, CqU
- funded earlier by a CRC Rail Innovation grant (2010-2012)
- Hudson adapted artificial intellignce methods, ANNs and SOMs along with transitional state methods to sleep/work/domestic factors and scheduling – written into Studies in Computational Intelligence 2016, Springer.
 Agitation-sedation (A-S) monitoring in ICU- BioEngineering - development of tracking methods to show device monitoring of agitation-sedation status in ICU was "correct".
- 2013. In: A-Asmari, A (editos), Discrete Wavelet Transforms - A Compendium of New Approaches and Recent Applications. InTech publishers. Vienna, ISBN 980-953-307-580-3, pages 127-162.
- Kang I., Hudson I., Keatley M., 2011. “Wavelet signatures and diagnostics for the assessment of ICU Agitation-Sedation protocols,” In: In: Olkkonen H (ed) Discrete Wavelet Transforms Biomedical Applications, InTech publishers, Vienna, Austria, pp 321-348 ISBN 978-953-307-654-6.
 Development of an Interactive Smoking projection Tools and further:
- This reseach group is developing Interactive Smoking projection Tools and more to model global trends in tobacco use globally - across time, country and gender.
- The group comprises Dr Edouard Tursan d'Espaignet, Coordinator Comprehensive Information Systems for Tobacco Control Free Initiative (TFI), (WHO, Geneva); Prof D. Levy, Pacific Institute Research & Evaluation, University of Baltimore, USA, and Drs F Tuyl and T Moffet and Prof Hudson (MAPS). â¨
- Prof. D. Levy, a world renowned analyst and researcher from the Pacific Institute Research and Evaluation, University of Baltimore, Maryland, USA, joins the research team in Dec., 2015.
- Team gained recent recognition by disseminating a report to the WHO and developing prototype of an Interactive Smoking projection Tool (ISPT)
- Research recently funded by 2015 & 2014 Dept of Health and WHO TFI grant monies.
 Wood informatics - Pulp and Paper Industry - CSIRO, CRC and NZ FRI:
- As SubProgram Leader of CRC HFPS, Hudson led the first group world-wide that identified “mid-wood” micro-structure regions in Eucalypt tree rings (as Sub Program 1.2 Leader, CRC-HFPS, 1993-1997, UniMelb).
- The research proved that simple wood fibre morphological models were inadequate to model whole tree variation.
- This led to a coordinated change in wood quality sampling protocols in Australasia (Downes, Hudson et al., 1997, CSIRO Pub), and was crucial to calibration of CSIRO’s SilviScan2, an international X-ray device for rapid wood quality image testing (Drs Rob Evans, G Downes et al).
- This work forged CSIRO’s later within-ring paleoclimatic change research (2007 - ).
 Paediatric DRGs (1988-1993):
- Hudson led a team, as Head of The University of Melbourne Biostatistics Unit, that created the first paediatric DRGs for hospital case mix in Australia.
- Paediatric DRGs were then used as policy/practice for length of stay (funded by the Commonwealth Health Department;
CIs Prof Peter D Phelan, Irene L Hudson and Barry Catchlove, 1988-90).
International/ Peer Recognition:
- Climate research added to IPCC 2014.
- Hudson is a major collaborator with the BOM and CSIRO’s Centre for Australian Weather and Climate
- developing a phenological index for Australia (2013- ).
- Stream leader in health informatics for international biennial MODSIM conferences -
MODSIM 2015, MODSIM 2013 and MODSIM 2011 and IWSM.
- Hudson has supervised 36 PhDs to successful completion.
- Currently supervise 13 PhDs at The University of Newcastle.
For last 5 years also external supervisor to 4 PhDs:
- F MacGillivray (with Prof Andrew Lowe, The University of Adelaide, conferred 2013)
- I Kang (Canterbury University, NZ, conferred 2012) - principal supervisor
- Nyguen Phong (UniSA, conferred 2014)
- S Wonsun Kim (UniSA, conferred 2011) - principal supervisor
Some prizes and awards:
- • Elected Fellow Royal Statistical Society, RSS, UK (2002 - current)
- • International Institute Stats (ISI) Country Representative of Women in Statistics
- • Canterbury University Erskine Research Fellowships (2001, 2003)
- • CILAG Clinical Fellow Harvard University (thoracic)
- • Best paper in Clinical Biostatistics
- • EU Phenolgy Commission (climate change)
- • Sir Ronald Fisher Memorial Prize in Statistics, The University of Adelaide.
Professional Activities and Memberships:
- PRC Gender Health & Aging, UoN (2011 - )
- Healthy Development Adelaide (2008 - )
- Director of the Centre for Healthcare Technology NZ (1993-2004), medical devices
- NZ FRST in Health Technology (2000)
- CSL clinical trial consultant
- Terrestrial Biodiversity Network in National Climate Change Adaptation Research Facility (2009-)
- Australian Centre of Excellence for Risk Analysis, Science Advisory Cttee, The University of Melbourne (2008-)
- EU Phenology Commission
- PRC CARMA, UoN (2011 - )
- National Institute Water & Atmospheric Research NZ (2003-2005)
- Editorial Board of Climatic Change
Professor Irene Hudson is a mathematical statistician working in diverse research areas of computational intelligence, drug discovery, health informatics, genomics, phenomics, bio-informatics, biostatistics and climate change modelling and phenology. Mapping and modelling of micro systems (brain voxels, molecules, wood anatomical measures) and macro systems (global incidence of disease, climate) underpins Hudson's research.
Hudson was appointed Head of the Biostatistics Unit, The University of Melbourne from 1983–1989.
Irene led the first statistical research group in Australia to create a paediatric diagnostic related groups (DRGs) case-mix cost, length of stay system. To that date only adult DRG's were in place. Irene has continued since then (1982 – current), both theoretical statistical research and applied research in medical biostatistics and health informatics.
In 1989-1993 Hudson was a Senior Statistical Consultant and Lecturer at the Mathematics and Statistics department at The University of Melbourne where she created an extensive consulting portfolio and continued bio-statistical research in cystic fibrosis and lung function processes.
From 1997–2006 Hudson was Senior Lecturer in the Department of Mathematics and Statistics, Acting Head for 2003-4 at the University of Canterbury (UC) NZ, where, her research focus was in clinical trials, psychometrics/brain function, modelling sudden infant death with climate, medical bio-engineering, internet traffic and climate change. Psychometric work summarised as follows:
- Psychometrics and brain image analysis research that involves modelling SPECT brain image data with respect to personality (Turner, Hudson et al., 2003 NeuroImage) and depression symptoms; and wavelet modelling of agitation-sedation profiles of patients in ICU (Kang, Hudson et al., 2011, 2013 - in Discrete Wavelet Biomedical Applications, ISBN 978-953-307-654-6 ) have been Hudson’s recent areas of bio-medical applications and theory.
- 2011 Australian Mathematics Society Teaching & Learning network grant (with QUT, CqU, UniSA, Adelaide Uni) $100K
- Grant to implement R into Statistcs, University of Canterbury (UC), Christchurch NZ
Teaching award -
- University of Canterbury (UC), Christchurch NZ Teaching Award
PostGrad Teaching - Research Supervision:
- Teach Honours Survival analytics
- Hudson has supervised 36 PhDs to successful completion.
- Currently supervise 13 PhDs at UoN.
For last 5 years also external supervisor to 4 PhDs,
- S W Kim (UniSA, conferred 2011) - principal supervisor
- I Kang (Canterbury University, NZ, conferred 2012) - principal supervisor
- F MacGillivray (UniAdelaide, conferred 2013)
- N Phong (UniSA, conferred 2014)
Contribution to the University's teaching and learning: UoN, 2011 - 2015:
From 2011 (re)formulated and taught the following courses:
- STAT 4090 Survival analysis and its - Applications to health, ICU diagnostics, counting processes
- STAT 3040 Time series - Analysis, theory and R computation for climate change, finance series
- STAT 3030 Generalized Linear Models - Application to chemo-informatics and health informatics modelling
- STAT 2010 Fundamentals of Statistics
- STAT 1020 Statistical Literacy - Research Methods & Design focus & reading literature
- MATH2420 Engineering Statistics (created a 159 page Course lecture book)
Hudson formulated and delivered a new offering STAT1020: Statistical Literacy: research Methods & Design for 2015 and 2016.
This consumer course STAT1020 is a statistical reasoning and literacy course for students in the sciences, health and arts education etc. In 2015 the main cohorts were from Speech Pathology and chemistry.
- This course introduces students to statistical thinking, research design methods; and the interpretation of results from the literature of these methods - RCTs, cross-over trials, case-control studies, cross-sectional studies; one way and 2 way ANOVA, confounding, bias, validity.
- The philosophy of this course is a consumer orientated statistical literacy approach.
- Teaching delivery focus is on a tutorial /workshop smaller groups, study and critique of published papers and discussion on design, and the careful interpretation of results.
- Examples from a range of sciences and related disciplines are used to illustrate the key concepts.
- Mode of delivery - workshop, tutorials and lectures
Other research-teaching activities:
- Part of a national T&L team which was awarded a grant in 2011 "Australian Mathematical Sciences Learning & Teaching Network Grant:
Building a Discipline Learning and Teaching Network: $100K
- Continuing as member of Australian Mathematical Sciences Learning & Teaching Network (AMSLaTNet)
- Research paper resulted: Mallet, D., Nelson M., Porter, A., Dekkers A, Townley-Jones M, Hudson, I, Belward S, Coady C, King D. 2013. Australian Learning and Teaching Council projects in the Mathematical Sciences: A retrospective. Australian and NZ Industrial Applied Mathematics (ANZIAM) Journal Vol 53, pp C576-C591. http://journal.austms.org.au/ojs/index.php/ANZIAMJ/article/view/510
Hudson is an active research collaborator and member of the Priority Research Centre for Gender, Health & Ageing and member of the Priority Research Centre, CARMA at the University of Newcastle.
Hudson joined The University of South Australia in 2006, as Director of the Statistical Consulting and Research Services and Academic Leader of Statistics. At UniSA she forged research collaborations with environmental scientists (ARC Prof A Lowe, and Prof Chris Daniels, Barbara Hardy Research Centre) and with the UniSA Centre for Sleep Research, with whom she gained a CRC Rail Innovation grant 2010-2012 to model fatigue in railway drivers.
At UniSA she was an active member of the UniSA Phenomics & Bioinformatics Research Centre and the Centre of Industrial and Applied Mathematics.
Hudson also took up a research only post as Sub-Program Leader of the CRC Hardwood Fibre and Paper Science, University of Melbourne from 1993–1997, where after previous years in health, biostatistics research and consulting she found her inspiration for wood informatics and phenology research, which she still has an active interest in to this day.
This appointment meant working closely with the pulp and paper industry, with Forest Products (CSIRO) and APPITA at Monash University and with NZ FRI New Zealand Forest Research Institute). The work at the CRC resulted in a major rewrite on forest sampling and assisted the development of wood quality devices and protocols.
PREFERABLE EMAIL CONTACT: firstname.lastname@example.org
- PhD, La Trobe University
- bioinformatics & biostatistics
- climate change analytics
- computational intelligence
- drug discovery & chem-informatics
- ecological statistics
- health informatics & health linkage
- mathematical statistics in engineering
- non-parametric statistics
- psychometrics & brain imaging
- statistical inference
- statistical methods in bio-engineering
- survival analysis
- time series analysis
- visualization and spatio- temporal mapping
- English (Fluent)
- German (Fluent)
- Russian (Fluent)
- Ukrainian (Fluent)
Fields of Research
|Dates||Title||Organisation / Department|
|13/01/2006 - 22/12/2010||
DIrector of ARCCS consulting and Academic Leader of Statistics
As academic Leader of Statistics and the Director of ARCCS Consulting I developed a more rigorous teaching program in statistics with new courses in Categorical Data Analysis at the 3rd Year level and also Multivariate Methods with applications in Business
The ARCCS Unit under my Directorship earned significant grants in sleep research, drug discovery, climate change and plant phenomics. I supervised 5 PhD students to completion. and strengthened national and international links. Published 10 book chapters and 1 book and a multiplicity of refereed journal and conference papers.
School of Mathematics and Statistics
|1/01/1997 - 1/01/2006||Senior Lecturer||University of Canterbury
Department Mathematics and Statistics
|1/01/1993 - 1/01/1997||Sub-Program Leader of the CRC Hardwood Fibre & Paper Science Unit||The University of Melbourne
|1/01/1989 - 1/01/1993||Senior Statistical Consultant||The University of Melbourne
|1/01/1989 - 1/01/1993||
Lecturer in Mathematics and Statistics: and Senior Statistical consultant (at the Statistical Consulting Cwntre, UniMelb)
|University of Melbourne
School of Mathematics and Statistics and Statistical Consulting centre
|1/01/1982 - 20/12/1989||
Head of Biostatistics Unit, University of Melbourne (RCH)
Head of the Biostatistcs Unit - statistical and health research leader
|University of Melbourne
|Dates||Title||Organisation / Department|
|10/02/1999 - 26/11/2004||Director of the Research Centre for Health Care Technology, NZ.||University of Canterbury, Christchurch, New Zealand
Mathematics and Statistics
For publications that are currently unpublished or in-press, details are shown in italics.
Book (2 outputs)
Hudson IL, Keatley MR, Phenological research: Methods for environmental and climate change analysis (2010)
Â© Springer Science+Business Media B.V. 2010. All rights reserved. As climate change continues to dominate the international environmental agenda, phenology - the study of the tim... [more]
Â© Springer Science+Business Media B.V. 2010. All rights reserved. As climate change continues to dominate the international environmental agenda, phenology - the study of the timing of recurring biological events - has received increasing research attention, leading to an emerging consensus that phenology can be viewed as an 'early warning system' for climate change impact. A multidisciplinary science involving many branches of ecology, geography and remote sensing, phenology to date has lacked a coherent methodological text. This new synthesis, including contributions from many of the world's leading phenologists, therefore fills a critical gap in the current biological literature. Providing critiques of current methods, as well as detailing novel and emerging methodologies, the book, with its extensive suite of references, provides readers with an understanding of both the theoretical basis and the potential applications required to adopt and adapt new analytical and design methods. An invaluable source book for researchers and students in ecology and climate change science, the book also provides a useful reference for practitioners in a range of sectors, including human health, fisheries, forestry, agriculture and natural resource management.
|1997||Downes GM, Hudson IL, Sampling Plantation Eucalypts for Wood and Fibre Properties Author, CSIRO Publishing, Collingwood, Melbourne, Australia, 144 (1997) [A1]|
Chapter (19 outputs)
Hudson IL, Leemaqz SY, Kim SW, Darwent D, Roach G, Dawson D, 'SOM clustering and modelling of Australian railway driversÂ¿ sleep, wake, duty profiles', Artificial Neural Network Modelling. Studies in Computational Intelligence, Springer International, Switzerland 235-279 (2016) [B1]
Hudson IL, Leemaqz SY, Neffe AT, Abell AD, 'Classifying calpain inhibitors for the treatment of cataracts: A self organising map (SOM) ANN/KM approach in drug discovery', Artificial Neural Network Modelling. Studies in Computational Intelligence, Springer International, Switzerland 161-212 (2016) [B1]
Beh EJ, Cheema SA, Tran D, Hudson I, 'Adjustment to the aggregate association index to minimize the impact of large samples', Advances in Latent Variables: Methods, Models and Applications, Springer, Cham, Switzerland 241-251 (2015) [B1]
Beh EJ, Tran D, Hudson IL, Moore L, 'Clustering of Stratified Aggregated Data Using the Aggregate Association Index: Analysis of New Zealand Voter Turnout (1893-1919)', , SPRINGER-VERLAG BERLIN 21-28 (2014) [B1]
Kang I, Hudson IL, Rudge A, Chase JG, Chase JG, 'Density estimation and wavelet thresholding via Bayesian methods: A Wavelet Probability Band and related metrics to assess agitation and sedation in ICU patients', Discrete Wavelet Transforms - A Compendium of New Approaches and Recent Applications, InTech Publishers, Vienna 127-162 (2013) [B1]
|2012||Hudson IL, Keatley MR, Kang I, 'Wavelets and clustering: Methods to assess synchronization', Wavelets: Classification, Theory and Applications, Nova Science Publishers, New York, NY 97-124 (2012) [B1]|
Hudson IL, Keatley MR, Kang I, 'Wavelet signatures of climate and flowering: Identification of species groupings', Discrete Wavelet Transforms - Biomedical Applications, InTech, Vienna 267-296 (2011) [B1]
Kang I, Hudson IL, Rudge A, Chase JG, 'Wavelet signatures and diagnostics for the assessment of ICU Agitation-Sedation protocols', Discrete Wavelet Transforms - Biomedical Applications, InTech, Vienna 321-348 (2011) [B1]
Morellato LPC, Camargo MGG, D'EÃ§a Neves FF, Luize BG, Mantovani A, Hudson IL, 'The influence of sampling method, sample size, and frequency of observations on plant phenological patterns and interpretation in tropical forest trees', Phenological Research: Methods for Environmental and Climate Change Analysis 99-121 (2010) [B1]
Â© Springer Science+Business Media B.V. 2010. All rights reserved. The research field of plant phenology, which often involves the monitoring of several to hundreds of species of ... [more]
Â© Springer Science+Business Media B.V. 2010. All rights reserved. The research field of plant phenology, which often involves the monitoring of several to hundreds of species of different life forms and/or different vegetation types, has increased exponentially over the last three decades. This has occurred in general, without consideration of the comparability of data and patterns across areas, and its influence on the interpretation of resultant patterns. In this chapter we address the influence of sampling method, sample size and the frequency of observations on the analysis of tropical tree phenologytropical tree phenology. Our approach is to compare the results of direct observations on transects with those obtained from litter traps. Transects and litter traps are the two most common methods used to sample and monitor plant phenology. Data from 3 locations were used to simulate different sample sizes and frequencies, and results were then compared with the original data. We conclude that sample size influences the patterns observed and there is a clear trade off between sample size and the frequency of observations. We show that direct observations were more accurate in defining both the beginning and the peak of phenological phases, and there was a significant difference between the peaks and seasonal patterns detected by both sampling methods. For tropical tree forest applications we recommend a minimum sample size of 15 trees and that a fortnightly frequency of observation be used especially if the sample size is small. We advocate the combination of presence/absence data and a quantification method to estimate plant phenology, a careful application of indices and a cautious generalization of pattern.
Hudson IL, 'Meta-analysis and its application in phenological research: A review and new statistical approaches', Phenological Research: Methods for Environmental and Climate Change Analysis 463-509 (2010) [B1]
Â© Springer Science+Business Media B.V. 2010. All rights reserved. Climate change is one of the greatest challenges to sustainable development. Results from many individual studie... [more]
Â© Springer Science+Business Media B.V. 2010. All rights reserved. Climate change is one of the greatest challenges to sustainable development. Results from many individual studies show significant variation in response to climate change and human activities. Given the scope and variability of these trends, global patterns may be much more important than individual studies in assessing the effects of global change. There is a need to synthesize quantitatively, existing results on ecosystems and their responses to global change, in order to reach a general consensus or summarize the differences. Meta-analysis provides such a quantitative synthetic method, in that it statistically integrates results from individual studies to find common trends and differences: so called fingerprints of change. Only a small number of studies to date have performed a formal statistical meta-analysis of species' responses or have synthesized independent studies to reveal emergent and globally coherent patterns of ecological changes in physical and in biological systems in the phenology and distribution of plants and animals. There are very few reports available on the use of meta-analysis to examine global climate change in Australia. The unequivocal conclusion across the global syntheses, to date, is that twentieth-century anthropogenic global warming has already impacted on the Earth's biota. This chapter reviews the general methodology of meta-analysis, assesses its advantages and disadvantages, synthesizes its use in global climate change phenology and discusses future directions and proposes new statistical methods, as yet not applied to phenological research, and only recently applied, only in part, in the health-climate epidemiological literature.
Morellato LPC, Alberti LF, Hudson IL, 'Applications of circular statistics in plant phenology: A case studies approach', Phenological Research: Methods for Environmental and Climate Change Analysis 339-359 (2010) [B1]
Â© Springer Science+Business Media B.V. 2010. All rights reserved. Phenology is the study of recurring biological events and its relationship to climate. Circular statistics is an... [more]
Â© Springer Science+Business Media B.V. 2010. All rights reserved. Phenology is the study of recurring biological events and its relationship to climate. Circular statistics is an area of statistics not very much used by ecologists nor by other researchers from the biological sciences, and indeed not much visited, till recently in statistical science. Nevertheless, the connection between the evaluation of temporal, recurring events and the analysis of directional data have converged in several papers, and show circular statistics to be an outstanding tool by which to better understand plant phenology. The aim of this chapter is to assess applications for circular statistics in plant phenology and its potential for phenological data analysis in general. We do not discuss the mathematics of circular statistics, but discuss its actual and potential applications to plant phenology. We provide several examples at various levels of application: from generating circular phenological variables to the actual testing of hypotheses, say, for the existence of certain a priori seasonal patterns. Circular statistics has particular value and application when flowering onset (or fruiting) occurs almost continuously in an annual cycle and importantly in southern climates, where flowering time may not have a logical starting point, such as mid-winter dormancy. We conclude circular statistics applies well to phenological research where we want to test for relationships between flowering time and other phenological traits (e.g. shoot growth), or with functional traits such as plant height. It also allows us to group species into annual, supra-annual, irregular and continuous reproducers; to study seasonality in reproduction and growth; and to assess synchronization of species.
|Show 16 more chapters|
Journal article (99 outputs)
Khan MS, King R, Hudson I, 'Transmuted Weibull distribution Properties and Estimation', Communications in Statistics: Theory and Methods, 46 5394-5418 (2017) [C1]
Khan MS, King R, Hudson I, 'Transmuted Kumaraswamy-G family of distributions for modelling reliability data', Journal of Testing and Evaluation, 45 (2017) [C1]
Khan MS, King R, Hudson IL, 'Transmuted generalized exponential distribution: A generalization of the exponential distribution with applications to survival data', Communications in Statistics: Simulation and Computation, 46 4377-4398 (2017)
Â© 2017 Taylor & Francis Group, LLC. In this article, we investigate the potential usefulness of the three-parameter transmuted generalized exponential distribution for anal... [more]
Â© 2017 Taylor & Francis Group, LLC. In this article, we investigate the potential usefulness of the three-parameter transmuted generalized exponential distribution for analyzing lifetime data. We compare it with various generalizations of the two-parameter exponential distribution using maximum likelihood estimation. Some mathematical properties of the new extended model including expressions for the quantile and moments are investigated. We propose a location-scale regression model, based on the log-transmuted generalized exponential distribution. Two applications with real data are given to illustrate the proposed family of lifetime distributions.
Schneider LA, Burns NR, Giles LC, Nettelbeck TJ, Hudson IL, Ridding MC, Pitcher JB, 'The influence of motor function on processing speed in preterm and term-born children', CHILD NEUROPSYCHOLOGY, 23 300-315 (2017) [C1]
Hudson IL, Keatley MR, 'Singular Spectrum Analytic (SSA) Decomposition and Reconstruction of Flowering: Signatures of Climatic Impacts', ENVIRONMENTAL MODELING & ASSESSMENT, 22 37-52 (2017) [C1]
Khan MS, King R, Hudson I, 'Transmuted Generalized Gompertz distribution with Application', Journal of Statistical Theory and Applications, 16 65-80 (2017) [C1]
Khan MS, King R, Hudson IL, 'Transmuted New Generalized Inverse Weibull Distribution', PAKISTAN JOURNAL OF STATISTICS AND OPERATION RESEARCH, 13 277-296 (2017) [C1]
Leigh L, Hudson IL, Byles JE, 'Sleep Difficulty and Disease in a Cohort of Very Old Women.', Journal of aging and health, 28 1090-1104 (2016) [C1]
Khan MS, King R, Hudson I, 'Transmuted Gompertz distribution: Properties and Estimation', Pakistan Journal of Statistics, 32 161-182 (2016) [C1]
Khan MS, King R, Hudson IL, 'Transmuted new generalized Weibull distribution for lifetime modeling', Communications for Statistical Applications and Methods, 23 363-383 (2016) [C1]
Khan MS, King R, Hudson IL, 'Three parameter Transmuted Rayleigh distribution with application to Reliability data', JOURNAL OF STATISTICAL THEORY AND APPLICATIONS, 15 296-312 (2016) [C1]
Khan MS, King R, Hudson I, 'Transmuted Kumaraswamy distribution', Statistics in Transition, 17 183-210 (2016) [C1]
Leigh L, Hudson IL, Byles JE, 'Sleeping difficulty, disease and mortality in older women: A latent class analysis and distal survival analysis', Journal of Sleep Research, 24 648-657 (2015) [C1]
Â© 2015 European Sleep Research Society. The aim of this study is to identify patterns of sleep difficulty in older women, to investigate whether sleep difficulty is an indicator ... [more]
Â© 2015 European Sleep Research Society. The aim of this study is to identify patterns of sleep difficulty in older women, to investigate whether sleep difficulty is an indicator for poorer survival, and to determine whether sleep difficulty modifies the association between disease and death. Data were from the Australian Longitudinal Study on Women's Health, a 15-year longitudinal cohort study, with 10Â¿721 women aged 70-75Â¿years at baseline. Repeated-measures latent class analysis identified four classes of persistent sleep difficulty: troubled sleepers (NÂ¿=Â¿2429, 22.7%); early wakers (NÂ¿=Â¿3083, 28.8%); trouble falling asleep (NÂ¿=Â¿1767, 16.5%); and untroubled sleepers (NÂ¿=Â¿3442, 32.1%). Sleep difficulty was an indicator for mortality. Compared with untroubled sleepers, hazard ratios and 95% confidence intervals for troubled sleepers, early wakers, and troubled falling asleep were 1.12 (1.03, 1.23), 0.81 (0.75, 0.91) and 0.89 (0.79, 1.00), respectively. Sleep difficulty may modify the prognosis of women with chronic diseases. Hazard ratios (and 95% confidence intervals) for having three or more diseases (compared with 0 diseases) were enhanced for untroubled sleepers, early wakers and trouble falling asleep [hazard ratioÂ¿=Â¿1.86 (1.55, 2.22), 1.91 (1.56, 2.35) and 1.98 (1.47, 2.66), respectively], and reduced for troubled sleepers [hazard ratioÂ¿=Â¿1.57 (1.24, 1.98)] . Sleep difficulty in older women is more complex than the presence or absence of sleep difficulty, and should be considered when assessing the risk of death associated with disease.
Bilano V, Gilmour S, Moffiet T, D'Espaignet ET, Stevens GA, Commar A, et al., 'Global trends and projections for tobacco use, 1990-2025: An analysis of smoking indicators from the WHO Comprehensive Information Systems for Tobacco Control', The Lancet, 385 966-976 (2015) [C1]
Â© 2015 World Health Organization. Published by Elsevier Ltd/Inc/BV. All rights reserved. Background Countries have agreed on reduction targets for tobacco smoking stipulated in t... [more]
Â© 2015 World Health Organization. Published by Elsevier Ltd/Inc/BV. All rights reserved. Background Countries have agreed on reduction targets for tobacco smoking stipulated in the WHO global monitoring framework, for achievement by 2025. In an analysis of data for tobacco smoking prevalence from nationally representative survey data, we aimed to provide comprehensive estimates of recent trends in tobacco smoking, projections for future tobacco smoking, and country-level estimates of probabilities of achieving tobacco smoking targets. Methods We used a Bayesian hierarchical meta-regression modelling approach using data from the WHO Comprehensive Information Systems for Tobacco Control to assess trends from 1990 to 2010 and made projections up to 2025 for current tobacco smoking, daily tobacco smoking, current cigarette smoking, and daily cigarette smoking for 173 countries for men and 178 countries for women. Modelling was implemented in Python with DisMod-MR and PyMC. We estimated trends in country-specific prevalence of tobacco use, projections for future tobacco use, and probabilities for decreased tobacco use, increased tobacco use, and achievement of targets for tobacco control from posterior distributions. Findings During the most recent decade (2000-10), the prevalence of tobacco smoking in men fell in 125 (72%) countries, and in women fell in 156 (88%) countries. If these trends continue, only 37 (21%) countries are on track to achieve their targets for men and 88 (49%) are on track for women, and there would be an estimated 1Â·1 billion current tobacco smokers (95% credible interval 700 million to 1Â·6 billion) in 2025. Rapid increases are predicted in Africa for men and in the eastern Mediterranean for both men and women, suggesting the need for enhanced measures for tobacco control in these regions. Interpretation Our findings show that striking between-country disparities in tobacco use would persist in 2025, with many countries not on track to achieve tobacco control targets and several low-income and middle-income countries at risk of worsening tobacco epidemics if these trends remain unchanged. Immediate, effective, and sustained action is necessary to attain and maintain desirable trajectories for tobacco control and achieve global convergence towards elimination of tobacco use. Funding Ministry of Health, Labour and Welfare, Japan; Ministry of Education, Culture, Sports and Technology, Japan; Department of Health, Australia; Bloomberg Philanthropies.
Chambers LE, Beaumont LJ, Hudson IL, 'Continental scale analysis of bird migration timing: Influences of climate and life history traits-a generalized mixture model clustering and discriminant approach', International Journal of Biometeorology, 58 1147-1162 (2014) [C1]
There is substantial evidence of climate-related shifts to the timing of avian migration. Although spring arrival has generally advanced, variable species responses and geographic... [more]
There is substantial evidence of climate-related shifts to the timing of avian migration. Although spring arrival has generally advanced, variable species responses and geographical biases in data collection make it difficult to generalise patterns. We advance previous studies by using novel multivariate statistical techniques to explore complex relationships between phenological trends, climate indices and species traits. Using 145 datasets for 52 bird species, we assess trends in first arrival date (FAD), last departure date (LDD) and timing of peak abundance at multiple Australian locations. Strong seasonal patterns were found, i.e. spring phenological events were more likely to significantly advance, while significant advances and delays occurred in other seasons. However, across all significant trends, the magnitude of delays exceeded that of advances, particularly for FAD (+22.3 and -9.6 days/decade, respectively). Geographic variations were found, with greater advances in FAD and LDD, in south-eastern Australia than in the north and west. We identified four species clusters that differed with respect to species traits and climate driver s. Species within bird clusters responded in similar ways to local climate variables, particularly the number of raindays and rainfall. The strength of phenological trends was more strongly related to local climate variables than to broad-scale drivers (Southern Oscillation Index), highlighting the importance of precipitation as a driver of movement in Australian birds. Â© 2013 ISB.
Ormond SE, Whatmough R, Hudson IL, Daniels CB, 'Environmental and anthropogenic impacts on avifaunal assemblages in an Urban Parkland, 1976 to 2007', Animals, 4 119-130 (2014) [C1]
Khan MS, King R, Hudson I, 'A new three parameter transmuted chen lifetime distribution with application', Journal of Applied Statistical Science, 21 239-259 (2013) [C1]
Â© Nova Science Publishers, Inc. This article deals with a new generalization of the Chen distribution called the transmuted Chen lifetime distribution. This distribution is capab... [more]
Â© Nova Science Publishers, Inc. This article deals with a new generalization of the Chen distribution called the transmuted Chen lifetime distribution. This distribution is capable of modelling bathtub-shaped instantaneous failure rate functions. The new transmuted lifetime distribution is developed using the quadratic rank transmutation map technique studied by Shaw et al. . Various structural properties of the proposed model are derived including the explicit expressions for the moments, incomplete moments, moment generating function, RÃ©nyi entropy, mean deviation, Bonferroni and Lorenz curves and the moments of order statistics. We discuss the estimation of the parameters using maximum likelihood and obtain the expected information matrix. The potentiality of new model is illustrated based on the strengths glass of fibres data.
Beh EJ, Tran D, Hudson IL, 'A reformulation of the aggregate association index using the odds ratio', Computational Statistics and Data Analysis, 68 52-65 (2013) [C1]
Since its inception in the 1950s the odds ratio has become one of the most simple and popular measures available for analysing the association between two dichotomous variables. S... [more]
Since its inception in the 1950s the odds ratio has become one of the most simple and popular measures available for analysing the association between two dichotomous variables. Since the direction and magnitude of the association can be captured in such a simple measure, its impact has been felt throughout much of scientific research, in particular in epidemiology and clinical trials. Despite this, its applicability for analysing aggregate data has rarely been considered. In this paper we shall express a new measure of association (the aggregate association index, or AAI), in terms of the classic odds ratio. The advantage of doing so is that we are able to explore the use of the odds ratio in a context for which it was not originally intended, and that is for the analysis of a 2Ã2 table where only the aggregate data is known. Â© 2013 Published by Elsevier B.V. All rights reserved.
Keatley MR, Hudson IL, 'Detecting change in an Australian flowering record: Comparisons of linear regression and cumulative sum analysis change point analysis', Austral Ecology, 37 825-835 (2012) [C1]
Hudson IL, Keatley MR, Lee SY, 'Using self-organising Maps (SOMs) to assess synchronies: An application to historical eucalypt flowering records', International Journal of Biometeorology, 55 879-904 (2011) [C1]
Hudson IL, Keatley MR, Kang I, 'Wavelet characterization of eucalypt flowering and the influence of climate', Environmental & Ecological Statistics, 18 513-533 (2011) [C1]
Keatley MR, Hudson IL, 'A comparison of long-term flowering patterns of Box-Ironbark species in Havelock and Rushworth forests', ENVIRONMENTAL MODELING & ASSESSMENT, 12 279-292 (2007) [C1]
Ripley D, Hudson I, Turner R, Osman-Gani A, 'Cross-national Similarities and Differences in Employee Perceptions of Issues in the Work Environment The Implications of Context Beyond National Culture for the Design of Employee Performance Improvement Interventions', PERFORMANCE IMPROVEMENT QUARTERLY, 19 41-66 (2006) [C1]
|2006||Huckabee ML, Dimov M, Hudson I, Kang I, 'Cross classification and correlational analysis of videofluoroscopic ratings of swallowing, respiratory infection and survival', DYSPHAGIA, 21 329-329 (2006)|
Rudge AD, Chase JG, Shaw GM, Lee D, Wake GC, Hudson IL, Johnston L, 'Impact of control on agitation-sedation dynamics', CONTROL ENGINEERING PRACTICE, 13 1139-1149 (2005) [C1]
Keatley MR, Hudson IL, Fletcher TD, 'Long-term flowering synchrony of box-ironbark eucalypts', AUSTRALIAN JOURNAL OF BOTANY, 52 47-54 (2004) [C1]
Chase JG, Rudge AD, Shaw GM, Wake GC, Lee D, Hudson IL, Johnston L, 'Modeling and control of the agitation-sedation cycle for critical care patients', MEDICAL ENGINEERING & PHYSICS, 26 459-471 (2004) [C1]
Keatley MR, Fletcher TD, Hudson IL, Ades PK, 'Shifts in the date of flowering commencement in some Australian plants', 16th Conference on Biometeorology and Aerobiology, 79-85 (2004)
A statistically significant shift in the date of flowering commencement in some Australian plants is discussed. The annual average of the mean and maximum daily temperature were f... [more]
A statistically significant shift in the date of flowering commencement in some Australian plants is discussed. The annual average of the mean and maximum daily temperature were found to have increased by 0.83Â°C and 1.08Â°C during the period from 1965 to 2002. The climate change is found to have a significant impact on the reproductive behavior of plant species in the area of south-eastern Australia. It is indicated that there is a change in local temperature over time and that the flowering phenology of some species has changed.
Dalrymple ML, Hudson IL, Ford RPK, 'Finite mixture, zero-inflated Poisson and hurdle models with application to SIDS', COMPUTATIONAL STATISTICS & DATA ANALYSIS, 41 491-504 (2003) [C1]
Turner RM, Hudson IL, Butler PH, Joyce PR, 'Brain function and personality in normal males: a SPECT study using statistical parametric mapping', NEUROIMAGE, 19 1145-1162 (2003) [C1]
Keatley MR, Fletcher TD, Hudson IL, Ades PK, 'Phenological studies in Australia: Potential application in historical and future climate analysis', INTERNATIONAL JOURNAL OF CLIMATOLOGY, 22 1769-1780 (2002)
Keatley MR, Fletcher TD, Hudson IL, Ades PK, 'Phenological studies in Australia: Potential application in historical', International Journal of Climatology, 22 1769-1780 (2002) [C1]
Phenological observations of eucalypts (Myrtaceae) were undertaken in four Australian states (New South Wales, Queensland, Victoria, and Western Australia) from the late 1920s unt... [more]
Phenological observations of eucalypts (Myrtaceae) were undertaken in four Australian states (New South Wales, Queensland, Victoria, and Western Australia) from the late 1920s until the early 1980s, by the respective State Forest Commissions. Unfortunately, few records have survived. For Victoria, surviving records encompass 42 forest districts, covering from less than 2 years to 42 years, and approximately 50 species. This paper concentrates on the flowering of four competing species (Eucalyptus leucoxylon, E. microcarpa, E. polyanthemos, and E. tricarpa) over 23 years (1940-62) from Maryborough, Victoria, recorded on a monthly basis by one observer over the period. This study represents one of the first attempts to utilize Australian phenological data to detect responses to climate change. There were no significant trends (P = 0.05) over time in the mean flowering commencement date. Forward stepwise regression found a significant relationship between temperature and flowering commencement in two species (E. leucoxylon: R 2 = 0.42, P < 0.01; E. polyanthemos: R 2 = 0.47, P = 0.02). Rainfall also had a significant influence on flowering commencement in E. tricarpa (R 2 = 0.60, P < 0.01), E. leucoxylon (R 2 = 0.43, P = 0.02) and E. polyanthemos (R 2 = 0.24, P < 0.01). The combination of temperature and rainfall (with temperature exerting the greatest influence), however, was significant for all species and had the most explanatory power (ranging from R 2 = 0.74 to 0.85, P < 0.01). Overall, in response to predicted increases in temperature and summer rainfall, E. leucoxylon and E. tricarpa would commence flowering later. In E. polyanthemos and E. microcarpa, increased temperature and rainfall will result in an earlier onset of flowering. Â© 2002 Royal Meteorological Society.
Zou C, Penfold C, Sands R, Misra RK, Hudson I, 'Effects of soil air-filled porosity, soil matric potential and soil strength on primary root growth of radiata pine seedlings', PLANT AND SOIL, 236 105-115 (2001) [C1]
Ostring SAM, Sirisena HR, Hudson I, 'Rate control of elastic connections competing with long-range dependent network traffic', IEEE TRANSACTIONS ON COMMUNICATIONS, 49 1092-1101 (2001) [C1]
Hudson I, Wilson L, Van Beveren K, 'Between species differences in whole tree maps of fibre properties in E-nitens and E-globulus - utility of control deviation charts to assess optimal sampling height', APPITA JOURNAL, 54 182-189 (2001) [C1]
Hudson I, Wilson L, Van Beveren K, 'Between species differences in whole tree maps of fibre properties in E. nitens and E. globulus - utility of control deviation charts to assess optimal sampling height', Appita Journal, 54 182-189 (2001)
Well-formed E. nitens and E. globulus tree were each destructively sampled with discs cut at nine percentage heights. Intense within-ring sampling and measurement of fibers provid... [more]
Well-formed E. nitens and E. globulus tree were each destructively sampled with discs cut at nine percentage heights. Intense within-ring sampling and measurement of fibers provided whole tree maps of variation of fiber dimensions. Whole tree and area-weighted disc values were successfully calculated, with and without adjustment for earlywood (EW) and latewood (LW) volumes or areas (EML Adj.).
Washusen R, Waugh G, Hudson I, Vinden P, 'Appearance product potential of plantation hardwoods from medium rainfall areas of the southern MurrayÂ¿Darling Basin. Green product recovery', Australian Forestry, 63 66-71 (2000) [C1]
The potential of plantation-grown Eucalyptus cladocalyx F Muell., E. globulus Labill. subsp. globulus, Corymbia maculata (Hook.) K. Hill and L. Johnson and E. sideroxylon Cunn. ex... [more]
The potential of plantation-grown Eucalyptus cladocalyx F Muell., E. globulus Labill. subsp. globulus, Corymbia maculata (Hook.) K. Hill and L. Johnson and E. sideroxylon Cunn. ex Woolls subsp. sideroxylon as a resource for high quality sawn products in the winter, medium rainfall zones (580Â¿750 mm) of the southern Murray-Darling Basin were investigated in this study. Six plantations ranging in age from 15 to 40 years from within the region were selected for harvest. Sawing involved back-sawing strategies which have been shown to maximise the output of high quality products from small diameter eucalypts. To evaluate out-turns of appearance products and to assess the effect of tree growth characteristics (primarily branches, knots, kino and other characteristics) on sawn product appearance, green product quality and recovery were assessed using CSIRO appearance grading criteria. Evaluation of products was conducted in specific zones of the inner heartwood (within 50 mm of the pith) and outer heartwood (greater than 50 mm from the pith) and on a whole log basis. Based on green product appearance, good recoveries of high quality products were obtained for 36 to 40-year-old E. cladocalyx, 40-year-old C. maculata and 40-year-old E. sideroxylon. Alternatively, the potential for 15-year-old E. globulus and 26-year-old E. sideroxylon suggested that the potential would not be as good without some reduction in significant defects, particularly knots and kino. Knots were a major defect in sawn products from all plantations. Evaluation of boards from inner heartwood and outer heartwood zones showed that with the removal of knots an increase in recovery of products of select grade and better would be possible in the outer heartwood in all species. This indicates a potential improvement in product quality had mechanical pruning been employed. However, improvement in quality in C. maculata and E. cladocalyx would be modest after pruning because of good natural branch shedding characteristics in these species. Â© 1999 Taylor & Francis Group, LLC.
Zou C, Sands R, Buchan G, Hudson I, 'Least limiting water range: a potential indicator of physical quality of forest soils', AUSTRALIAN JOURNAL OF SOIL RESEARCH, 38 947-958 (2000) [C1]
Hudson I, Wilson L, Van Beveren K, 'Association of fibre morphology with cambial age and attained height: new oblique axes for whole tree variation in Eucalyptus globulus', APPITA JOURNAL, 53 122-140 (2000) [C1]
Leitch MA, Savidge RA, Downes GM, Hudson IL, 'Induction of tyloses in Eucalyptus globulus 'chips'', IAWA JOURNAL, 20 193-201 (1999) [C1]
Keatley MR, Hudson IL, 'The influence of fruit and bud volumes on eucalypt flowering - An exploratory analysis', AUSTRALIAN JOURNAL OF BOTANY, 46 281-304 (1998) [C1]
Hudson I, Wilson L, Van Beveren K, 'Vessel and fibre property variation in Eucalyptus globulus and Eucalyptus nitens: Some preliminary results', IAWA JOURNAL, 19 111-130 (1998) [C1]
|Show 96 more journal articles|
Review (1 outputs)
|2011||Hudson IL, 'Meta analysis', Encyclopedia of Climate and Weather (2011) [D1]|
Conference (101 outputs)
Stokes B, Tuyl F, Hudson I, 'New prior sampling methods for nested sampling - Development and testing', AIP Conference Proceedings, Ghent, Belgium (2017) [E1]
Beh E, Zafar, Hudson I, Hudson SA, Abell AD, 'A non-iterative approach to ordinal log-linear models: investigation of log D in drug discovery', Rennes, France (2016)
Stokes BJ, Tuyl F, Hudson I, 'Equidistribution testing with Bayes factors and the ECT', AIP Conference Proceedings, 1757, Potsdam, NY, USA (2016) [E1]
Zafar S, Hudson I, Beh EJ, Joyce PR, 'Modelling risk profiles of depression sysmptoms using CloningerÂ¿s temperament and character traits: a non-iterative approach to assess linear-by-linear association with ordered contingency tables', Gold Coast, QLD (2015) [E3]
|2015||Hudson IL, Kang I, Keatley MR, 'Wavelet characterisation of eucalypt flowering and the influence of climate and budding', 21ST INTERNATIONAL CONGRESS ON MODELLING AND SIMULATION (MODSIM2015), Gold Coast, AUSTRALIA (2015)|
Khan M Shuaib King Robert Hudson Irene, 'Theoretical analysis of the transmuted Rayleigh distribution with application', YSC 2015, The University of Adelaide (2015) [E3]
|2015||Hudson IL, Leigh L, Joyce P, 'Modelling change in multivariate depression symptoms adjusting for gender and baseline temperament and character traits: a Latent Transition approach', 21ST INTERNATIONAL CONGRESS ON MODELLING AND SIMULATION (MODSIM2015), Gold Coast, AUSTRALIA (2015)|
Cheema SA, Beh EJ, Hudson, 'On the quantification of statistical significance of the extent of association projected on the margins of 2x2 tables when only the aggregate data is available: A pseudo p-value approach applied to leukaemia relapse data', MODSIM2015, 21st International Congress on Modelling and Simulation, Gold Coast, Qld (2015) [E1]
Brown JJ, Beh EJ, Hudson IL, 'Can we use the approaches of ecological inference to learn about the potential for dependence bias in dual-system estimation? An application to cancer registration data.', MODSIM2015, 21st International Congress on Modelling and Simulation, Gold Coast, Qld (2015) [E1]
|2014||Shafi S, Hudson IL, Hudson SA, Abel AD, 'Drug-likeness in the drug industry: What role is there for statisticians in obtaining so-called structural fingerprints?', Australian Statistical Conference. Abstracts, Sydney, NSW. Australia (2014) [E3]|
Tran D, Beh E, Hudson IL, 'Generalising Aggregate Association Index.its Connection With Odds Ratio And Association Measurements', Australian Statistical Conference. Abstracts, Sydney, NSW (2014) [E3]
Khan MS, King R, Hudson IL, 'Transmuted Weibull Distribution for Lifetime Modeling', Australian Statistical Conference. Abstracts, Sydney, NSW (2014) [E3]
Khan M Shuaib King Robert Hudson Irene, 'Transmuted Gompertz distribution with application', ANZMC 8, Melbourne at Parkville Campus the University of Melbourne (2014) [E3]
Zafar S, Cheema S, Beh EJ, Hudson I, 'Some asymptotic properties of the non-iterative estimates of linear-by-linear association parameter', Abstracts Australian Statistical Conference in conjunction with the Institute of Mathematical Statistics Annual Meeting, Sydney (2014) [E3]
Cheema S, Beh EJ, Hudson I, 'Adjustment to the aggregate association index for large samples', Abstracts of the Australian Statistical Conference in conjunction with the Institute of Mathematical Statistics Annual Meeting, Sydney (2014) [E3]
|2014||Leigh L, Hudson IL, 'Recent Advances In Multivariate Multiple Imputation For Mar Missing Data In Health', Australian Statistical Conference. Abstracts, Sydney, NSW (2014) [E3]|
|2014||Keatley MR, Hudson IL, 'Four plants, two hemispheres, same baseline?', 20th International Congress on Biometeorology, Cleveland, Ohio. USA (2014) [E3]|
|2014||Liverani S, Leigh L, Hudson IL, 'Dirichlet process Bayesian clustering of survival response', Specialist Workshop on Probability Distributions and Statistical Models for Reliability and Survival Analysis, Brunel University, London. UK (2014) [E3]|
|2013||Hudson IL, Leigh L, 'What to do when scheduling is not followed - the issue of unbalanced longitudinal data', Proceedings of . Australia and New Zealand Industrial and Applied Mathematics (ANZIAM) 2013 conference, University of Newcastle, NSW, Australia (2013) [E3]|
Khan MS, King R, Hudson IL, 'Characterizations of the Transmuted Inverse Weibull Distribution', Proceedings of 11th Engineering Mathematics and Applications Conference, Queensland University of Technology (QUT), Australia (2013) [E3]
Stokes B, Tuyl F, Hudson IL, 'A New Implementation of Nested Sampling', Proceedings of 33rd International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering, Canberra (2013) [E3]
|2013||Khan MS, King R, Hudson IL, 'Transmuted Generalized Exponential Distribution', Proceedings of 57th Annual Meeting of the Australian Mathematical Society, University of Sydney, Australia (2013) [E3]|
Hudson IL, Cheema SA, Beh EJ, 'On issues concerning the assessment of information contained in aggregate data using the F-test', Proceedings of Australia and New Zealand Industrial and Applied Mathematics (ANZIAM) 2013 conference, University of Newcastle, NSW, Australia (2013) [E3]
Zafar S, Beh EJ, Hudson IL, 'An overview of estimation for ordinal log-linear models', Proceedings of Australia and New Zealand Industrial and Applied Mathematics (ANZIAM) 2013 conference, University of Newcastle, NSW, Australia (2013) [E3]
|2013||Hudson IL, Shafi S, Hudson S, Abell D, 'Drug-likeness: statistical tools, chemico-biology space, cartesian planes, drug databases: a case study', Proceedings of Australia and New Zealand Industrial and Applied Mathematics (ANZIAM) 2013 conference, University of Newcastle, NSW, Australia (2013) [E3]|
Livingston G, Nur D, Hudson IL, 'A fully Bayesian analysis of Smooth Threshold Autoregressive (STAR) model: A prior sensitivity analysis', Proceedings of International Society for Bayesian Analysis, Section on Economics, Finance and Business (EFaB@Bayes250), Duke University, USA (2013) [E3]
|2013||Hudson IL, 'Modelling and prediction of dynamic, temporal phenomena - many questions, some answers, many methods Â¿ an overview', Proceedings of South Pacific Optimization Meeting: SPOM 2013, The University of Newcastle, NSW, Australia (2013) [E3]|
|2013||Hudson IL, Shalem Y, Darwent D, Roach G, Dawson D, 'SOM clustering and modelling of Australian railway drivers' sleep, wake, duty profiles', Proceedings of the profiles 28th edition of the International Workshop on Statistical Modelling (IWSM), Palermo, Sicily (2013) [E3]|
Tran DT, Beh E, Hudson I, 'Geographically clustering New Zealand electorates in the 1893 general election using data describing gender and voter turnout: an application of the Aggregate Association Index', Proceedings of the 49th ANZIAM Conference, Newcastle, NSW (2013) [E3]
Hudson IL, Beh EJ, Cheema S, Tran D, 'Adjusting the aggregate association index for large samples', Advances in Latent Variables: Proceedings of SIS 2013 Statistical Conference, Brescia, Italy (2013) [E1]
Beh EJ, Zafar S, Cheema S, Hudson IL, 'A Study of Bias for Non-Iterative Estimates of the Linear-by-Linear Association Parameter from the Ordinal Log-Linear Models', Advances in Latent Variables: Proceedings of the SIS 2013 Statistical Conference, Brescia, Italy (2013) [E1]
Hudson IL, Zafar S, Cheema SA, Beh EJ, Hudson SA, Abell AD, 'Linking ordinal log-linear models with Correspondence Analysis: an application to estimating drug-likeness in the drug discovery process', MODSIM2013, 20th International Congress on Modelling and Simulation, Adelaide, SA (2013) [E1]
Hudson IL, Keatley MR, 'Scoping the budding and climate impacts on Eucalypt flowering: nonlinear time series decomposition modelling', MODSIM2013, 20th International Congress on Modelling and Simulation, Adelaide, SA (2013) [E1]
Hudson IL, Tran D, Beh EJ, 'The Aggregate Association Index and its links with common measurements of association in a 2x2 table: An Analysis of Early NZ gendered voting data', MODSIM2013, 20th International Congress on Modelling and Simulation, Adelaide, South Australia (2013) [E1]
Hudson IL, Cheema SA, Beh EJ, 'On issues concerning the assessment of information contained in aggregate data using the F-statistics', MODSIM2013, 20th International Congress on Modelling and Simulation, Adelaide, SA (2013) [E1]
|2012||Keatley M, Bren L, Hudson IL, 'Analysis of long-term flowering records for river red gum and black box in a flooding forest', Ecological Society of Australia 2012 Annual Conference. Ecology: Fundamental Science of the Biosphere. Book of Abstracts, Melbourne, Vic (2012) [E3]|
|2012||Hudson IL, Keatley M, Lee SY, 'Effect of current and past seasonal climate on eucalypt flowering: Identifying early/late flowering years', Ecological Society of Australia 2012 Annual Conference. Ecology: Fundamental Science of the Biosphere. Book of Abstracts, Melbourne, Vic (2012) [E3]|
|2012||Macgillvray F, Lowe A, Gardner J, Hudson IL, 'Pyrus phenology in South Australia: Life in a hot, dry climate', Ecological Society of Australia 2012 Annual Conference. Ecology: Fundamental Science of the Biosphere. Book of Abstracts, Melbourne, Vic (2012) [E3]|
Cheema SA, Beh EJ, Hudson IL, 'The aggregate informative index', Handbook. Australian Statistical Conference, Adelaide, SA (2012) [E3]
|2012||Kim S, Hudson IL, Roach G, Darwent D, Dawson D, 'Analysis of sleep/wake and duty profiles of railway drivers using GAMLSS with interaction', Handbook. Australian Statistical Conference, Adelaide, SA (2012) [E3]|
|2012||Lee S, Hudson IL, Lee S, Turner R, 'Visualizing improved prognosis in psychiatric treatment via mixtures, SOMS and Chernoff faces', Handbook. Australian Statistical Conference, Adelaide, SA (2012) [E3]|
|2012||Hudson IL, Shafi S, Lee S, Hudson S, Abell A, 'Druggability in drug discovery: Self organising maps with a mixture discriminant approach', Handbook. Australian Statistical Conference, Adelaide, SA (2012) [E3]|
|2012||Leigh L, Hudson IL, Turner R, Joyce P, 'Classifying multivariate risk profiles of depression symptoms using Cloninger's temperament and character traits: A latent class model approach', Handbook. Australian Statistical Conference, Adelaide, SA (2012) [E3]|
Nur D, Hudson IL, Kim S, 'Multivariate Gaussian Hidden Markov Models for sleep profiles of railway drivers', Handbook. Australian Statistical Conference, Adelaide, SA (2012) [E3]
Tran DT, Beh EJ, Hudson IL, Moore L, 'Investigating the Aggregate Association Index for analysing voter turnout at New Zealand elections 1893-1920', Handbook. Australian Statistical Conference, Adelaide, SA (2012) [E3]
Zafar S, Beh EJ, Hudson IL, 'An overview of estimation for ordinal log-linear models', Handbook. Australian Statistical Conference, Adelaide, SA (2012) [E3]
|2012||Lee S, Hudson IL, Keatley M, 'Modelling the effect of current and past seasonal climate on flowering', Handbook. Australian Statistical Conference, Adelaide, SA (2012) [E3]|
|2012||Keatley MR, Hudson IL, 'The influence of budding on the flowering phases of four eucalypt species', Phenology 2012: Future Climate & the Living Earth. Book of Abstracts, Milwaukee, WI (2012) [E3]|
Tran DT, Beh EJ, Hudson IL, 'The Aggregate Association Index and its Application in the 1893 New Zealand Election', Proceedings of the Fifth Annual ASEARC Conference: Looking to the Future, Wollongong, NSW (2012) [E1]
Beh EJ, Tran DT, Hudson IL, Moore L, 'The Aggregate Association Index and its extensions', Analysis and Modelling of Complex Data in Behavioural and Social Sciences, Anacapri, Italy (2012) [E3]
|2011||Hudson IL, Kim SW, Keatley MR, 'Modelling lagged dependency of current and past climate on flowering: a mixture transition state approach', 19th International Congress of Biometeorology, Auckland, NZ (2011) [E2]|
|2011||Keatley MR, Hudson IL, Chambers LE, Ades PK, 'Comparison of herbaria and field-based phenological records', 19th International Congress of Biometeorology, Auckland, NZ (2011) [E2]|
|2011||Nguyen P, Haughton D, Boland J, Hudson IL, 'Multilevel models and small area estimation in Vietnam', 5th World Conference of the Spatial Econometrics Association (SEA), Toulouse, France (2011) [E3]|
|2011||Hudson IL, Kim SW, Keatley MR, 'Climate effects and thresholds for flowering of eight Eucalypts: A GAMLSS ZIP approach', MODSIM 2011: 19th International Congress on Modelling and Simulation Proceedings, Perth, WA (2011) [E1]|
|2011||Hudson IL, Abell A, Lee S, 'Computational and statistical drug design: Self-Organising Maps (SOMs) versus mixtures in Drug Discovery', Proceedings of the 4th Applied Statistics Education and Research Collaboration (ASEARC) Conference, Parramatta, NSW (2011) [E3]|
Kim SW, Hudson IL, 'Tracking indices as measures of synchronization of isotopic temperature of NZ abalone shells with ambient water temperature', MODSIM 2007: INTERNATIONAL CONGRESS ON MODELLING AND SIMULATION, Christchurch, NEW ZEALAND (2007) [E1]
Hudson IL, Dalrymple ML, Faddy MJ, 'New Mixture Models for Discrete Counts Time Series: with an Application to Modelling Mortality and Climate in NZ', MODSIM 2007: INTERNATIONAL CONGRESS ON MODELLING AND SIMULATION, Christchurch, NEW ZEALAND (2007) [E1]
Keatley MR, Hudson IL, 'Shift in flowering dates of Australian plants related to climate: 1983-2006', MODSIM07 - Land, Water and Environmental Management: Integrated Systems for Sustainability, Proceedings (2007) [E1]
Hudson IL, Fukuda K, Dalrymple ML, 'Climate-pollution impacts on Sudden Infant Deaths (SIDS)', MODSIM 2005: INTERNATIONAL CONGRESS ON MODELLING AND SIMULATION: ADVANCES AND APPLICATIONS FOR MANAGEMENT AND DECISION MAKING, Melbourne, AUSTRALIA (2005) [E1]
Ostring SAM, Sirisena H, Hudson I, 'Robust ABR control for uncertainties in long-range dependent traffic', 10TH IEEE WORKSHOP ON LOCAL AND METROPOLITAN AREA NETWORKS, SELECTED PAPERS, COOGEE BEACH, AUSTRALIA (2001) [E1]
|2001||Hudson I, Dalrymple M, Wilson L, 'Nonlinear multivariate time series (NLMVTS) analysis of whole tree fibre dimensions in E-globulus', 55TH APPITA ANNUAL CONFERENCE, PROCEEDINGS, HOBART, AUSTRALIA (2001) [E1]|
Hudson I, Wilson L, Van Beveren K, 'Comparison of oblique axes of variation in fibre morphology between E. nitens and E. globulus', APPITA Annual General Conference (2000) [E1]
The axes of variation in fiber morphology of Eucalyptus nitens were compared with Eucalyptus globulus as a function of sampling height, and within ring EW and LW. In E. nitens, an... [more]
The axes of variation in fiber morphology of Eucalyptus nitens were compared with Eucalyptus globulus as a function of sampling height, and within ring EW and LW. In E. nitens, an exact EW to LW profile was observed and sustained longitudinally up to 80% AH in all rings. The longitudinal variation in E. nitens was less consistent between rings than in E. globulus. The repeating sequence of EW, MW and LW partitioning confirmed the highly significant EW to LW differentiation of fibers in E. nitens, not shown in E. globulus.
Ostring SAM, Sirisena H, Hudson I, 'Sensitivity of ABR congestion control algorithms to hurst parameter estimates', NETWORKING 2000, PARIS, FRANCE (2000) [E1]
|1999||Wilson L, Hudson I, Bossinger G, 'The control of heartwood formation in eucalypts', 53RD APPITA ANNUAL CONFERENCE, PROCEEDINGS, VOLS 1 AND 2, ROTORUA, NEW ZEALAND (1999) [E1]|
Hudson I, Wilson L, Van Beveren K, 'Between species differences in whole tree maps of fibre properties in E-nitens and E-globulus - utility of control deviation charts to assess optimal sampling height', 53RD APPITA ANNUAL CONFERENCE, PROCEEDINGS, VOLS 1 AND 2, ROTORUA, NEW ZEALAND (1999) [E1]
Ãstring SAM, Sirisena H, Hudson I, 'Dual dimensional ABR control scheme using predictive filtering of self-similar traffic', IEEE International Conference on Communications (1999) [E1]
This paper presents an ABR control scheme (ABR 2 - DP) which maximises the utilisation of information available about the network traffic. Firstly, it takes into account the long-... [more]
This paper presents an ABR control scheme (ABR 2 - DP) which maximises the utilisation of information available about the network traffic. Firstly, it takes into account the long-range dependence of the self-similar background network traffic, and utilises it for more accurate multi-step predictions of the explicit rate (ER). Secondly, prediction errors for connections with greater network delay are compensated for in the ER calculations for connections with smaller delay. Hence, the available bandwidth is distributed both in temporal and spatial dimensions. The scheme allows a reduction in buffer requirements and queueing delay. Performance results are presented and compared with a previously proposed scheme which uses digital filtering. Â© 1999 IEEE.
Wilson L, Van Beveren K, Hudson I, 'Whole tree vessel distribution in seven year old plantation Eucalyptus globulus and Eucalyptus nitens', 52ND APPITA ANNUAL GENERAL CONFERENCE, 1998 PROCEEDINGS, VOLS 1 AND 2, BRISBANE, AUSTRALIA (1998)
|Show 98 more conferences|
Other (2 outputs)
|2014||Hudson IL, 'Drug-likeness: Stastical Tools, Chemo-space, Hype-planes and Mixtures Â¿ Drug Databases', ( pp.1): STATSWEEK 2014 (2014) [O1]|
Khan M Shuaib King Robert Hudson Irene, 'Theoretical Properties of Transmuted Lindley distribution', ( pp.3): Statistical Society of Australia, Inc (SSAI) (2014) [O1]
Report (2 outputs)
|2014||Hudson IL, Cheema SZ, Tran D, Beh EJ, 'On the utility of aggregate data; quantification of the extent of association and its significance by using aggregate data only', State Bank, Pakistan (2014) [R1]|
Moffiet T, Tuyl FA, Hudson IL, Tursan d'Espaignet E, 'Literature review into existing tobacco projection tools: A blueprint to allow practical development of a projection tool', WHO Organization Tobacco Free Initiative, Comprehensive Information Systems for Tobacco Control and MAPS (2014) [R2]
Grants and Funding
|Number of grants||14|
Click on a grant title below to expand the full details for that specific grant.
20162 grants / $78,789
Project to produce estimation of mortality gains from possible interventions to reduce tobacco use in the WHO Interactive Smoking Projection Tool (ISPT).$52,520
Funding body: World Health Organisation
Project to adjust method to generate prevalence trends in tobacco smoking with a logistic function and to enable mortality gains from tobacco interventions$26,269
Funding body: World Health Organisation
20153 grants / $283,723
Funding body: NHMRC (National Health & Medical Research Council)
|Funding body||NHMRC (National Health & Medical Research Council)|
|Project Team||Professor Paulette Van Vliet, Associate Professor James Welsh, Professor Michael Nilsson, MELISSA Knight, Professor Irene Hudson, Mr Jeffrey Julian, Mr Luke Simmons|
|Type Of Funding||Aust Competitive - Commonwealth|
Development of method to measure potential mortality impact and potential lives saved and propose timetable and methods into the WHO Interactive Smoking Projection Tool$35,459
Funding body: World Health Organisation
Assessing the Impact of Mandatory DNA Testing of Prison Inmates in NSW on Clearance, Charge and Conviction Rates from 1995-2014: a Capture-Recapture Analysis$7,200
Funding body: University of Newcastle - Faculty of Science & IT
|Funding body||University of Newcastle - Faculty of Science & IT|
|Project Team||Doctor Joanne Thandrayen, Professor Irene Hudson, Mr Don Weatherburn|
|Scheme||Strategic Initiative Research Fund (SIRF)|
|Type Of Funding||Internal|
20142 grants / $201,823
Development of a statistical method to estimate past, current and future prevalence of tobacco use at country, regional and global levels$175,000
Funding body: Department of Health
|Funding body||Department of Health|
|Project Team||Doctor Frank Tuyl, Professor Irene Hudson, Dr Edouard Tursan d'Espaignet|
|Scheme||Investment in Preventative Health - Tobacco Harm Minimisation|
|Type Of Funding||Other Public Sector - Commonwealth|
Literature review into existing tobacco projection tools and development of a blueprint that would allow for exploration of possible interventions necessary to achieve tobacco targets$26,823
Funding body: World Health Organisation
20131 grants / $2,000
Funding body: University of Newcastle - Faculty of Science & IT
|Funding body||University of Newcastle - Faculty of Science & IT|
|Project Team||Professor Irene Hudson|
|Scheme||PVC Conference Assistance Grant|
|Type Of Funding||Internal|
20122 grants / $20,000
Funding body: University of Newcastle
Developing new Hidden Markov Models (HMMs) and Latent Trait Trajectory models of sleep, work, and shift behaviour: application to Railway Driver Fatigue and Scheduling in the Australian Rail Industry $10,000
Funding body: University of Newcastle - Faculty of Science & IT
|Funding body||University of Newcastle - Faculty of Science & IT|
|Project Team||Professor Irene Hudson, Doctor Darfiana Nur, Conjoint Professor Andrew Dawson|
|Scheme||Strategic Initiative Research Fund (SIRF)|
|Type Of Funding||Internal|
20111 grants / $100,000
Building a Discipline Learning and Teaching Network. Discipline Learning and Teaching Network proposal (AMSLaTNet)$100,000
Funding body: Office for Learning and Teaching
|Funding body||Office for Learning and Teaching|
|Scheme||Australian Mathematical Sciences Learning & Teaching Network (Special Initiatives Reserve Fund)|
|Type Of Funding||Other Public Sector - Commonwealth|
20102 grants / $863,000
CRC Rail Innovation Grant 2010-2012: Next Generation Fatigue Models: Enhancing the sleep, wake, work database that underpins fatigue modelling algorithms. $443,000
Funding body: CRC Rail
|Funding body||CRC Rail|
sally Ferguson (CqU)
|Scheme||CRC Rail Innovation Grant|
|Type Of Funding||Other Public Sector - Commonwealth|
Funding body: Department of Innovation, Industry, Science and Research
|Funding body||Department of Innovation, Industry, Science and Research|
A Professor Desmond Lun (UniSA, now at Rurgers)
|Scheme||PREMIERâS SCIENCE AND RESEARCH FUND (PSRF) SA Government DFEEST|
|Type Of Funding||Aust Competitive - Non Commonwealth|
20071 grants / $300,000
Funding body: ARC (Australian Research Council)
|Funding body||ARC (Australian Research Council)|
Andrew D Abell
|Type Of Funding||Aust Competitive - Commonwealth|
Number of supervisions
Total current UON EFTSL
|Commenced||Level of Study||Research Title||Program||Supervisor Type|
|2011||PhD||The Aggregate Association Index and its Extensions in Ecological Inference and Correspondence Analysis||PhD (Statistics), Faculty of Science, The University of Newcastle||Co-Supervisor|
|2011||PhD||Mathematical Methods for Molecular Drug Discovery, Biomarker Identification- Towards New Paradigms of Drug Efficacy and Safety||PhD (Statistics), Faculty of Science, The University of Newcastle||Principal Supervisor|
|Year||Level of Study||Research Title||Program||Supervisor Type|
|2017||PhD||A Bayesian Analysis of a Regime Switching Volatility Model||PhD (Statistics), Faculty of Science, The University of Newcastle||Co-Supervisor|
|2017||PhD||Non-iterative Estimation Methods for Ordinal Log-linear Models||PhD (Statistics), Faculty of Science, The University of Newcastle||Co-Supervisor|
|2017||PhD||Transmuted Families of Lifetime Distributions with Mixture and Covariates Regression Modelling to Analyse Survival Data||PhD (Statistics), Faculty of Science, The University of Newcastle||Co-Supervisor|
|2016||PhD||The Aggregate Association Index and its Extensions||PhD (Statistics), Faculty of Science, The University of Newcastle||Co-Supervisor|
|2015||PhD||Meta-Analysis Adjusting for Heterogeneity, Dependence and Non-Normality: A Bayesian Parametric Approach||PhD (Statistics), Faculty of Science, The University of Newcastle||Principal Supervisor|
|2015||PhD||Mathematical Modelling to Investigate a Wolbachia Intervention to Reduce Dengue Transmission||PhD (Mathematics), Faculty of Science, The University of Newcastle||Co-Supervisor|
|2013||PhD||Viet Nam Household Living Standards Surveys 2002-2008 in space and time: Managerial Aspects and Multilevel models. (part- time PhD). See http://w3.unisa.edu.au/unisanews/2014/October/story9.asp||Statistics, University of South Australia||Principal Supervisor|
|2012||PhD||Tracking phenological shifts and evolutionary impacts due to climate change (part time PhD)||Biological Sciences, University of Adelaide||Co-Supervisor|
|2011||PhD||Bayesian and non-Bayesian mixture paradigms for clustering multivariate data: time series synchrony tests. http://www.austms.org.au/Publ/Gazette/2011/Sep11/News.pdf||Statistics, University of South Australia||Principal Supervisor|
|2011||PhD||Wavelets, ICA and Statistical Parametric Mapping: with Applications to Agitation-Sedation Modelling, Detecting Change Points and to Neuroinformatics (part -time PhD)||Statistics, University of Canterbury, Christchurch NZ||Principal Supervisor|
|2011||Post-Doctoral Fellowship||Statistical Methods in Drug Discovery||Statistics, Faculty of Science and Information Technology, The University of Newcastle | Australia||Sole Supervisor|
|2009||Masters||Statistical applications of SOMs in Drug Discovery.||Statistics, Macquarie University||Sole Supervisor|
|2008||PhD||Parametric Potential-Outcome Survival Models for Causal Inference: Non- compliance & latent ignorability â application to US breast cancer trial.||Statistics, University of Canterbury, Christchurch NZ||Principal Supervisor|
|2008||Masters||Modelling of (railway) level crossing risk management strategies.||Mathematics, University of South Australia||Co-Supervisor|
|2006||Masters||Temporal variation and inter-relationship of movement and resource selection of red deer (Cervus Elaphus) with respect to climate: a case study (deer migration)||Statistics, University of Canterbury, Christchurch NZ||Co-Supervisor|
|2004||Masters||Gender counts: men, women and electoral politics, 1893-1919 - history and ecological inference||History, University of Canterbury, Christchurch NZ||Co-Supervisor|
|2004||Masters||New improved methods for application and interpretation of singular spectrum analysis: a case study of climate and air pollution in Christchurch, NZ.||Statistics, University of Canterbury, Christchurch NZ||Principal Supervisor|
|2004||PhD||Modelling and control of agitation-sedation dynamics in critically ill patients - ICU protocols/medicine||Mechanical Engineering, University of Canterbury, Christchurch NZ||Co-Supervisor|
|2003||PhD||Three studies in numerical methods for statistical approximations||Mathematics, Unknown||Co-Supervisor|
|2003||PhD||Mathematical optimisation of diver ascent profiles at a constant risk of decompression illness||Mathematics, Unknown||Co-Supervisor|
|2003||Honours||SIngular Spectrum Analysis (SSA)||Statistics, University of Canterbury, Christchurch NZ||Sole Supervisor|
|2003||PhD||Independent component analysis of personality and symptoms of depression and statistical parametric mapping of personality and brain function - Psychometrics and brain imaging||Statistics, University of Canterbury, Christchurch NZ||Principal Supervisor|
|2003||Honours||Survival confidence intervals - Biostatistics||Statistics, University of Canterbury, Christchurch NZ||Sole Supervisor|
|2003||PhD||Poisson mixture methods and change point analyses to study the relationship between temporal profiles of sudden infant death (SIDS) syndrome and climate - Health epidemiology||Statistics, University of Canterbury, Christchurch NZ||Principal Supervisor|
|2003||Honours||Wavelets - application to Eucalypt flowering (climate change)||Statistics, Unknown||Sole Supervisor|
|2002||Masters||Fibre properties and cambial processes in eucalypts growing in saline environments.||Forestry Studies, Unknown||Co-Supervisor|
|2001||PhD||Reactive traffic control mechanisms for communication networks with self-similar bandwidth demands http://ir.canterbury.ac.nz/handle/10092/5461||Elec&Electronic Eng&Technology, Unknown||Co-Supervisor|
|2000||Honours||Mixture analysis in health: a CAMAN approach (Biostatistics/Epidemiology)||Statistics, Unknown||Sole Supervisor|
|2000||PhD||Effective mediation in international disputes : a comparative analysis of mediation by the United Nations and regional organisations, 1945-1995 http://ir.canterbury.ac.nz/handle/10092/4682 and http://www.posc.canterbury.ac.nz/people/bercovitch.shtml||Political Science, Unknown||Co-Supervisor|
|1999||Honours||Sudden infant deaths (SIDS) and climate: ARIMA models ( Health epidemiology)||Statistics, Unknown||Principal Supervisor|
|1999||PhD||The development of tissue culture techniques to study wood formation in Eucalyptus globulus Labill URI: http://hdl.handle.net/11343/36228||Forestry Studies, Unknown||Co-Supervisor|
|1999||Masters||Influence of soil air-filled porosity on primary root length and growth of radiata pine||Forestry Studies, Unknown||Co-Supervisor|
|1998||PhD||Soil physical properties and root growth of radiata pine URI: http://hdl.handle.net/10092/7493||Forestry Studies, Unknown||Co-Supervisor|
|1998||PhD||Flowering phenology of Box-Ironbark eucalypts in the Maryborough region, Victoria (climate change)||Forestry Studies, University of Melbourne||Principal Supervisor|
|1998||PhD||Wood quality of plantation eucalypts from medium rainfall areas of the southern Murray-Darling Basin http://www.forestry.org.au/forestry-theses-abstracts/||Forestry Studies, Unknown||Co-Supervisor|
|1998||Honours||Empirical survival methods in modelling cystic fibrosis (Lung function and chronic diseases)||Statistics, Unknown||Sole Supervisor|
|1996||PhD||Data analytic methods of prognosis for cystic fibrosis: Lung function and chronic diseases||Statistics, University of Melbourne||Principal Supervisor|
|1996||PhD||The rapid characterization of pulpwood quality of plantation eucalypts using near-infrared spectroscopy:||Forestry Studies, Unknown||Co-Supervisor|
|1993||Honours||GAMS modelling in health||Statistics, University of Melbourne||Sole Supervisor|
|1993||PhD||The prediction of developmental problems in children of very low birth-weight & normal birth-weight (Psychiatry & Paediatrics)||Psychiatry, University of Melbourne||Co-Supervisor|
|1988||PhD||Longitudinal analysis of pulmonary function in healthy children and adolescents:||Paediatrics, University of Melbourne||Co-Supervisor|