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Epidemiology : An Introduction

by
Edition:
2nd
ISBN13:

9780199754557

ISBN10:
0199754551
Format:
Paperback
Pub. Date:
6/1/2012
Publisher(s):
Oxford University Press
List Price: $41.95

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This is the 2nd edition with a publication date of 6/1/2012.
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Summary

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 health events. 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 epidemiologic principles 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.

Author Biography

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, including cancer, cardiovascular disease, neurologic disease, birth defects, injuries, environmental exposures, and drug epidemiology, but his main career focus has been the development and teaching of the concepts and methods of epidemiologic research.

Table of Contents

Introduction to Epidemiologic Thinkingp. 1
Pioneers in Epidemiology and Public Healthp. 8
What Is Causation?p. 23
Measuring Disease Occurrence and Causal Effectsp. 38
Types of Epidemiologic Studiesp. 69
Infectious Disease Epidemiologyp. 110
Dealing with Biasesp. 124
Random Error and the Role of Statisticsp. 148
Analyzing Simple Epidemiologic Datap. 164
Controlling Confounding by Stratifying Datap. 176
Measuring Interactionsp. 198
Using Regression Models in Epidemiologic Analysisp. 211
Epidemiology in Clinical Settingsp. 235
Appendixp. 254
Indexp. 257
Table of Contents provided by Ingram. All Rights Reserved.


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