Faculty of Science

Objectives

To provide students with in-depth statistical knowledge and skills important in the acquisition, storage and analysis of epidemiology or biomedical data.

Contents

Introduction to statistics with computing; Data types, summary and presentation; Probability: evaluating the role of chance; The binomial distribution; The normal distribution; Principles of statistical inference; Inference from a sample mean; Comparison of two means; Inference from a sample proportion; Comparison of two proportions; Association between two categorical variables; Measures of effect in 2X2 tables; Matched analysis for paired binary data Correlation; Linear regression; Non-parametric methods; Sample size calculation; SPSS, Epidata; MS Excel and GraphPad Prism.

Cohort studies; Introduction to survival analysis; Case-control studies; Likelihood; Introduction to multivariable analysis; Logistic regression; Logistic regression; Matched case-control studies; Introduction to Poisson and Cox regression; Strategies of analysis; Choice of controls in a case-control study.