Epidemiology: An Introduction

Paperback | May 9, 2012

byKenneth J. Rothman

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Across the last forty years, epidemiology has developed into a vibrant scientific discipline that brings together the social and biological sciences, incorporating everything from statistics to the philosophy of science in its aim to study and track the distribution and determinants of healthevents. A now-classic text, the second edition of this essential introduction to epidemiology presents the core concepts in a unified approach that aims to cut through the fog and elucidate the fundamental concepts. Rather than focusing on formulas or dogma, the book presents basic epidemiologicprinciples and concepts in a coherent and straightforward exposition. By emphasizing a unifying set of ideas, students will develop a strong foundation for understanding the principles of epidemiologic research.

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Across the last forty years, epidemiology has developed into a vibrant scientific discipline that brings together the social and biological sciences, incorporating everything from statistics to the philosophy of science in its aim to study and track the distribution and determinants of healthevents. A now-classic text, the second editi...

Kenneth J. Rothman, DrPH, is a Distinguished Fellow at RTI International, an independent nonprofit research institute dedicated to improving the human condition. He is also Professor in the Departments of Epidemiology and Medicine at Boston University. His research interests in epidemiology have spanned a wide range of health problems,...

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Format:PaperbackDimensions:272 pages, 9.25 × 6.12 × 0.68 inPublished:May 9, 2012Publisher:Oxford University PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0199754551

ISBN - 13:9780199754557

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Table of Contents

1. Introduction to Epidemiologic Thinking2. Pioneers in Epidemiology and Public Health3. What is Causation?4. Measuring Disease Occurrence and Causal Effects5. Types of Epidemiologic Studies6. Infectious Disease Epidemiology7. Dealing with Biases8. Random Error and the Role of Statistics9. Analyzing Simple Epidemiologic Data10. Controlling Confounding by Stratifying Data11. Measuring Interactions12. Using Regression Models in Epidemiologic Analysis13. Epidemiology in Clinical SettingsAppendixIndex