By the end of this module, students should be able to:
1. Describe and apply measures of disease incidence and prevalence, and measures of effect (e.g. relative and absolute risk);
2. Explain the basic principles underlying different study designs, including descriptive, ecological, cross-sectional, cohort, case-control and intervention studies;
3. Assess strengths and limitations of different study designs;
4. Identify problems interpreting epidemiological data: chance, bias, confounding and effect modification;
5. Identify the key features of methods appropriate for sampling surveys;
6. Understand the concepts of statistics as a prerequisite for learning inferential statistics;
7. Analyze survey data using inferential statistics techniques