Objectives
This course introduces the principles of statistical modelling, and applies statistical models such as multiple linear regression, logistic regression and Cox proportional hazards model to a variety of practical medical or public health problems. It further discusses methods for analysing repeated measurement data, assessment of model fit, handling of confounding and evaluation of effect modification.
Upon completion of the course, the participants will be able to:
1. Build statistical models for outcomes involving binomial, normal, survival or repeated measures data.
2. Summarise and interpret the effect estimates in the context of real life medical or public health data.
3. Assess model fit, confounding and effect modification.
4. Test the validity of the assumption underlying each model.
5. Discuss the uses and limitations of multi-variable analyses.