Epidemiology: An Introduction, Second Edition
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Comment from the Stata technical group
The study of epidemiology requires a deep understanding of statistics. Many texts focus on formulas, calculations, and software rather than on the concepts you need to know. It’s easy to get lost in all the jargon.
This text is ideal for beginners in epidemiological statistics to learn the terminology and understand how and when to use statistical tools. The text focuses on concepts, not on mathematics, and discusses statistical techniques in the context of the real problems they can solve. This text bridges the gap between what is taught in an introductory statistics text and what you need to be an effective researcher and analyst.
The second edition has two new chapters, chapter 2 and chapter 6, listed below in the table of contents. Chapter 2 provides a historical overview of the early contributions by the pioneers of epidemiology and public health. Chapter 6 presents a summary of key concepts in infectious disease epidemiology. The text remains current with continually evolving epidemiological concepts and is now accompanied by a website (www.oup.com/us/epi), where readers can participate in discussions of the concepts presented in the book.
Table of contents
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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