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| Postgraduate |
(MED)
|
Leader: A/Prof A Forbes
Offered:
MMS-ALFRED Second semester 2006 (OCL)
Synopsis: This unit will develop statistical models for longitudinal and correlated data in medical research. The concept of hierarchical data structures will be developed, together with simple numerical and analytical demonstrations of the inadequacy of standard statistical methods.
Objectives: On completion of this unit students should be able to: 1. Recognise the existence of correlated or hierarchical data structures, and describe the limitations of standard methods in these settings; 2. develop and analytically describe an appropriate model for longitudinal or correlated data based on unit matter considerations; 3. be proficient at using a statistical software package (eg Strata or SAS) to properly model and perform computations for longitudinal data analyses, and to correctly interpret results; and 4. 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.
Assessment: Two written assignments + Practical essay