Conditions of Use
Author does a good job of covering subject and provides excellent glossary. read more
Author does a good job of covering subject and provides excellent glossary.
Book is accurate and free from bias
Text contains information about recent diseases.
The text explains concepts/definitions in language that is appropriate for an introductory text.
All chapters have subheadings
Topics are presented in a logical fashion and explanations are appropriate for beginning epidemiology students.
No issues found
Text is neither offensive nor discriminatory
The author did a very good job of describing, explaining, and defining the field of epidemiology for introductory students. Relative examples are provided and formulas are included for all calculations.
Table of Contents
- 1. What is Epidemiology?
- 2. Measures of Disease Frequency
- 3. Surveillance
- 4. Introduction to 2 x 2 Tables, Epidemiologic Study Design, and Measures of Association
- 5. Random Error
- 6. Bias
- 7. Confounding
- 8. Effect Modification
- 9. Study Designs Revisited
- 10. Causality and Causal Thinking in Epidemiology
- 11. Screening and Diagnostic Testing
About the Book
This book is intended to provide a basic introduction to epidemiologic methods and epidemiologic thinking. After reading this book, you should be able to read an epidemiologic study, understand what the authors did and why, and identify what they found. You will also have the tools to assess the quality of that study—how good is the evidence? What are potential sources of bias, and how might those have affected the results? This book will not teach you enough to be able to design and conduct your own epidemiologic studies—that level of understanding requires several years of specialized training. However, being able to read and understand the scientific literature about human health will allow you to apply that understanding to your own work in a nuanced, sophisticated way.
About the Contributors
Marit L. Bovbjerg, Oregon State University