Survival analysis (6 points)
(MED)
Leader: Dr G. Heller
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 survival analysis; 2. develop appropriate survival analysis strategies based on unit matter considerations, including choice of models, control for confounding and appropriate parameterisation; 3. be proficient at using at least two different statistical software packages (eg Strata, Excel) to perform survival analysis; 4. Understand the construction, use and interpretation of appropriate graphs for showing results and checking statistical assumptions; 5. express the results of statistical anlyses of censored data in language suitable for (a) communication to medical investigators and (b) publication in biomedical or epidemiological journals; and 6. appreciate the role of newer techniques including parametric non-modelling, floating odds ratios and competing risks.
Assessment: Three written assignments + Final examination
Prerequisites: MPH1040, EPM5002, EPM5003 & EPM5004
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