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Longitudinal and Correlated Data - BCA811

The aim of this unit is 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. Unit contents are: 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 generalized linear mixed models (GLMM); methods for count data.

Because of the multi-institutional nature of the BCA units, there is an early cut-off for enrolment in this unit. These dates are:
Session 1: 20 February 2017
Session 2: 24 July 2017

Credit Points: 4
When Offered:

S1 External - Session 1, External (On-campus dates: None)

Staff Contact(s): Professor Gillian Heller

[BCA808 and BCA809] or [((STAT271 and STAT272) or STAT371 or STAT806 or STAT810) and (STAT411 or STAT811)] Prerequisite Information


Unit Designation(s):


Assessed As: Graded
Offered By:

Department of Statistics

Faculty of Science and Engineering

Course structures, including unit offerings, are subject to change.
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