Epidemiology: An introduction
Generate an AI Snapshot to get a quick, structured summary of this paper.
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
TL;DR
This chapter discusses epidemiologic thinking in clinical settings, the role of statistics, and methods for controlling Confounding by Stratifying Data.
Abstract
1. Introduction to Epidemiologic Thinking 2. Pioneers in Epidemiology and Public Health 3. What is Causation? 4. Measuring Disease Occurrence and Causal Effects 5. Types of Epidemiologic Studies 6. Infectious Disease Epidemiology 7. Dealing with Biases 8. Random Error and the Role of Statistics 9. Analyzing Simple Epidemiologic Data 10. Controlling Confounding by Stratifying Data 11. Measuring Interactions 12. Using Regression Models in Epidemiologic Analysis 13. Epidemiology in Clinical Settings Appendix Index
