Module code: MD7452
Modelling in Epidemiology project
The project is designed to give you experience in analysing epidemiological data using logistic and Poisson models. The project uses real datasets, which inevitably comes with some real problems. The overall aim is that the datasets should be analysed using appropriate statistical techniques and written up in a clear, concise and scientifically rigorous manner.
This teaching week considers epidemiology study design and conduct. You will gain experience in critical appraisal of epidemiological studies and in the interpretation of their results; considering bias, confounding and causality. More advanced epidemiological concepts and the role of statistical techniques to make appropriate inference from epidemiological studies will be covered and limitations of observational studies will be discussed.
- Epidemiology study designs
- Causal diagrams, and causal inference, statistical adjustment, and how to adjust (stratification, matching, modelling, standardisation, re-weighting)
- Statistical techniques in the context of epidemiological study design, analysis and interpretation
- Introduction to genetic epidemiology
- Critical consideration of epidemiological papers
- 12 one-hour lectures
- 12 hours of practicals
- 4 hours of project supervisions
- 122 hours of independent study
- Coursework (30%)
- Written report (70%)