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Unit of study_

Longitudinal and Correlated Data - BSTA5012

Year - 2018

This unit aims to enable students to apply appropriate methods to the analysis of data arising from longitudinal (repeated measures) epidemiological or clinical studies, and from studies with other forms of clustering (cluster sample surveys, cluster randomised trials, family studies) that will produce non-exchangeable outcomes. Content covered in this unit includes: Paired data; the effect of non-independence on comparisons within and between clusters of observations; methods for continuous outcomes; normal mixed effects (hierarchical or multilevel) models and generalised estimating equations (GEE); role and limitations of repeated measures ANOVA; methods for discrete data; GEE and generalised linear mixed models (GLMM); methods for count data.

Classes
8-12 hours total study time per week, distance learning

Assessment
2x major written assignments (30% each), 5x shorter written assignments (8% each)

Textbooks
Recommended: Fitzmaurice G, Laird N, Ware J. Applied Longitudinal Analysis. John Wiley and Sons, 2011. ISBN 978-0-471-21487-8. Notes supplied.

Pre-requisites

BSTA5008

Details

Faculty: Medicine and Health

Semester 1

05 Mar 2018

Department/School: Public Health
Study Mode: Distance education
Census Date: 31 Mar 2018
Unit of study level: Postgraduate
Credit points: 6.0
EFTSL: 0.125
Available for study abroad and exchange: No
Faculty/department permission required? No
Location
Camperdown
More details
Unit of Study coordinator: Professor Judy Simpson
HECS Band: 2
Courses that offer this unit

Non-award/non-degree study If you wish to undertake one or more units of study (subjects) for your own interest but not towards a degree, you may enrol in single units as a non-award student. Cross-institutional study If you are from another Australian tertiary institution you may be permitted to undertake cross-institutional study in one or more units of study at the University of Sydney.

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