In this course, the principles of statistical modelling will be introduced, and statistical models such as multiple linear regression, logistic regression and Cox proportional hazards model will be applied to a variety of practical medical problems. Methods for analysing repeated measures data, assessment of model fit, statistical handling of confounding and statistical evaluation of effect modification will also be discussed. Upon completion of the course, the participants will be able to: 1. Build statistical models for outcomes involving binomial, normal, survival data or repeated measures data. 2. Assess model fit, confounding and effect modification, and interpret the effect estimates 3. Discuss the uses and limitations of multi-variable analyses.