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Longitudinal and Correlated Data (POPH90123)

Graduate courseworkPoints: 12.5Online

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Overview

Year of offer2019
Subject levelGraduate coursework
Subject codePOPH90123
Availability
Semester 1 - Online
FeesSubject EFTSL, Level, Discipline & Census Date

Topics covered: 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.

Intended learning outcomes

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.

Generic skills

  • Independent problem solving;
  • facility with abstract reasoning;
  • clarity of written expression;
  • sound communication of technical concepts.

Last updated: 3 April 2019