BIOS6950

Advanced Biostatistics

10 Units 6000 Level Course

Available in 2014

WebLearn GradSchool Semester 2

Previously offered in 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004

Covers advanced biostatistical methods commonly used such as categorical data analysis and survival analysis. Provides students with experience, rather than theory, as the course is very applied utilising numerous examples, and practical exercises, and with assignments using real data.

Objectives To provide students with the understanding and skills to undertake high level statistical analysis of categorical and survival data.
Content The course has two components - categorical data analysis and survival analysis. Categorical data analysis will include a log-linear models for dichotomous and multinomial data, paired and matched data and repeated measures analysis. The survival analysis component covers introduction to censoring, truncation, survival and hazard functions, Cox proportional hazards regression, Weibull and other parametric models, time dependent models, accelerated failure time models, repeated measures, competing risks, informative censoring and sample size.
Replacing Course(s) N/A
Transition N/A
Industrial Experience 0
Assumed Knowledge 200 level Statistical Inference and Generalised Linear Modelling or equivalent; Biostatistics A,Biostatistics B, Intermediate Biostatistics
Modes of Delivery Distance Learning : Paper Based
Teaching Methods Email Discussion Group
Assessment Items
Essays / Written Assignments 3 Marked Assignment worth 25%, 40% and 35%.
Contact Hours Email Discussion Group: for 2 hour(s) per Week for Full Term
Timetables 2014 Course Timetables for BIOS6950