Epidemiology Matters offers a new approach to understanding and identifying the causes of disease — and with it, how to prevent disease and improve human health. Utilizing visual explanations and examples, this title provides an accessible, step-by-step introduction to the fundamentals of epidemiologic study, from design to analysis. Across fourteen chapters, Epidemiology Matters teaches the individual competencies that underlie the conduct of an epidemiologic study: identifying populations; measuring exposures and health indicators; taking a sample; estimating associations between exposures and health indicators; assessing evidence for causes working together; and assessing internal and external validity of results.
Table of Contents
- 1 An Introduction
- 2 What Is a Population and What Is Population Health?
- 3 What Is an Exposure, What Is a Disease, and How Do We Measure Them?
- 4 What Is a Sample?
- 5 Watching a Sample, Counting Cases
- 6 Are Exposures Associated With Health Indicators?
- 7 What Is a Cause?
- 8 Is the Association Causal, or Are There Alternative Explanations?
- 9 How Do Noncausal Associations Arise?
- 10 How Can We Mitigate Against Noncausal Associations in Design and Analysis?
- 11 When Do Causes Work Together?
- 12 Do the Results Matter Beyond the Study Sample?
- 13 How Do We Identify Disease Early to Minimize Its Consequences?
- 14 Conclusion: Epidemiology and What Matters Most