Front cover image for Epidemiology : an introduction

Epidemiology : an introduction

Begins with a brief, lucid discussion of casual thinking and causal inference and then takes the reader through the elements of epidemiology, focusing on the measures of disease occurrence and causal effects. With these building blocks in place, the reader learns how to design, analyze, and interpret epidemiologic research studies, and how to deal with the fundamental problems that epidemiologists face, including confounding, the role of chance, and the exploration of interactions. All these topics are layered on the foundation of basic principles presented in simple language, with numerous examples and questions for further thought
eBook, English, 2002
Oxford University Press, Oxford, 2002
Book
1 online resource (viii, 223 pages) : illustrations
9780199747894, 9780195135541, 019974789X, 0195135547
1246689920
1. Introduction to Epidemiologic Thinking
2. What Is Causation?
3. Measuring Disease Occurrence 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
Electronic reproduction, [Place of publication not identified], HathiTrust Digital Library, 2021