BIOS6990
10 units
6000 level
Course handbook
Description
The course aims to provide students with the understanding and skills to undertake statistical analysis of longitudinal data.
Availability2024 Course Timetables
Online
- Semester 2 - 2024
Learning outcomes
On successful completion of the course students will be able to:
1. Identify and describe longitudinal data and convert between wide and long data forms
2. Interpret interaction parameters in linear regression models and explain the relevance of interaction to longitudinal analysis
3. Explore longitudinal data by graphing and describing response trajectories
4. Specify and fit linear regression models with specified covariance structures or random effects (linear mixed model) for longitudinal data with a continuous response variable
5. Specify and fit marginal models for longitudinal data with a categorical or count response variable using generalised estimating equations
6. Specify and fit generalised linear mixed models for longitudinal data with a categorical or count response variable
7. For a specified research question and sample of longitudinal data, select an appropriate regression model, assess the validity of alternate fitted models and interpret model parameters for a non-statistical audience
Content
The course will cover the following material:
- Revision of linear regression
- Basic concepts of longitudinal data including graphical and statistical methods for summarising the data
- Fitting linear models and linear mixed models to longitudinal data including residual analysis and diagnostics
- Review of generalised linear models and introduction to generalised estimating equations and generalised linear mixed models as applied to longitudinal data.
Requisite
This course is only available to students who are currently enrolled in BIOS6940, or have successfully completed BIOS6940.
Assumed knowledge
Students are assumed to have prior knowledge of and experience using linear and logistic regression.
Assessment items
Written Assignment: Written Assignment 1
Written Assignment: Written Assignment 2
Written Assignment: Written Assignment 3
Written Assignment: Written Assignment 4
Contact hours
Semester 2 - 2024 - Online
Online Activity-1
- Online 2 hour(s) per week(s) for 13 week(s) starting in week 1
- Online discussion or online tutorials 2hrs per week for a full term
Self-Directed Learning-1
- Self-Directed 8 hour(s) per week(s) for 13 week(s) starting in week 1
Course outline
Course outline not yet available.
The University of Newcastle acknowledges the traditional custodians of the lands within our footprint areas: Awabakal, Darkinjung, Biripai, Worimi, Wonnarua, and Eora Nations. We also pay respect to the wisdom of our Elders past and present.