Linear models (6 points)
(MED)
Leader: A/Prof A Forbes
Offered:
Clayton First semester 2004 (OCL)
Clayton First semester 2005 (OCL)
Synopsis:
Objectives: On completion of this unit students should be able to: 1. understand the major theoretical and computational issues underlying analyses based on linear models; 2. develop appropriate regression modelling strategies based on unit matter considerations, including choice of models, control for confounding and appropriate parameterisation; 3. be proficient at using a statistical software package (eg. Strata) to perform multiple regression and analysis of variance; 4. understand the construction, use and interpretation of regression modelling diagnostics; 5. express the results of statistical analyses of linear models in language suitable for communication to medical investigators or publication in biomedical or epidemiological journal articles; and 6. appreciate the role of modern techniques including nonparametric smoothing and variance components models.
Assessment: Two written assignments + Practical exercise
Prerequisites: MPH1040, EPM5002 & EPM5003
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