Epidemiology: An Introduction, Second Edition
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
readers can participate in discussions of the concepts presented in the book.
Table of contents
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