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Unit of study_
BSTA5012: Longitudinal and Correlated Data (LCD)
2024 unit information
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.
Unit details and rules
Managing faculty or University school:
Public Health
| Code | BSTA5012 |
|---|---|
| Academic unit | Public Health |
| Credit points | 6 |
|
Prerequisites:
?
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BSTA5210 or BSTA5211 or (BSTA5007 and BSTA5008) |
|---|---|
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Corequisites:
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None |
| Prohibitions:
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None |
| Assumed knowledge:
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None |
At the completion of this unit, you should be able to:
- LO1. Recognise the existence of correlated or hierarchical data structures, and describe the limitations of standard methods in these settings
- LO2. Develop and analytically describe appropriate models for longitudinal and correlated data based on subject matter considerations
- LO3. Be proficient at using statistical software packages (Stata and R) to fit models and perform computations for longitudinal data analyses, and to correctly interpret results
- LO4. Express the results of statistical analyses of longitudinal data in language suitable for communication to medical investigators or publication in biomedical or epidemiological journal articles
Unit availability
This section lists the session, attendance modes and locations the unit is available in. There is a unit outline for each of the unit availabilities, which gives you information about the unit including assessment details and a schedule of weekly activities.
The outline is published 2 weeks before the first day of teaching. You can look at previous outlines for a guide to the details of a unit.
| Session | MoA ? | Location | Outline ? |
|---|---|---|---|
|
Semester 1 2024
|
Online | Camperdown/Darlington, Sydney | |
|
Semester 2 2024
|
Online | Camperdown/Darlington, Sydney |
Outline unavailable
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Modes of attendance (MoA)
This refers to the Mode of attendance (MoA) for the unit as it appears when you’re selecting your units in Sydney Student. Find more information about modes of attendance on our website.
