Contents. Introduction to epidemiologuc thinking. 2. What is causation?. 3. Measuring disease occurence and causal effects. 4. Types of epidemiologic study. 5. Biases in study design. 6. Random error and the role of statistics. 7. Analyzing simple epidemiologic data. 8. Controlling confounding by stratifying data. 9. Measuring interactions. 10. Using regression models in epidemiologic analysis. 11. Epidemiology in clinical settings.