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Longitudinal and Correlated Data - BCA811
This unit covers statistical models for longitudinal and correlated data in medical research. The concept of hierarchical data structures is developed, together with demonstrations of the inadequacy of standard statistical methods. Beginning with models based on normal distributions, more appropriate statistical procedures involving generalised estimating equations (GEE) and mixed linear models are developed. The limitations of traditional repeated measures analysis of variance is demonstrated. Extensions to non-normal outcomes are developed and approaches based on GEE and generalised linear mixed models (GLMM) are developed and contrasted. Throughout, emphasis is placed on interpretation issues focussing on the underlying clinical or public health research question.
| Credit Points: | 4 |
| When Offered: | X1 - External study; Offered in Session 1 |
| Staff Contact(s): | Associate Professor Gillian Heller |
| Prerequisites: |
(BCA808 and BCA809) or ((STAT271 and STAT272) or STAT371 or STAT810) and (STAT411 or STAT811)) |
| Corequisites: | |
| NCCW(s): | |
| Unit Designation(s): | |
| Assessed As: | Graded |
| Offered By: | Department of Statistics Faculty of Science |
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