Advanced Statistical Methods in Epidemiology

Summary of course
This three-day course is aimed at academic researchers in the medical and health or social sciences or who may work in government, the pharmaceutical industry, or other parts of the private sector who want to perform statistical modelling and analysis of epidemiological study data.

Course Code: S3RIASME
Course Dates: 29 February 2016-02 March 2016 
Course Leader: Professor Dankmar Boehning

Course Description
Topics will include the basic disease occurrence measures of prevalence and incidence with their role in surveillance including standardization, Mantel-Haenszel estimation of various effect measures including the risk ratio and risk difference for cohort studies and the odds ratio for case-control studies as well as Poisson and logistic regression to adjust for potential confounders simultaneously.

The course will also include elements of time-to-event analysis including Kaplan-Meier estimation and Cox’ proportional hazards model for confounder adjustment and will comprise of a mixture of lectures and practical workshops using the software STATA.

Participants are expected to have a good working knowledge of simple statistical methods, including a good understanding of estimation of parameters including confidence intervals, hypothesis testing and p-values. No familiarity with the software STATA is required.