Overview

Across the last fifty 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 third edition of this essential introductory textbook gives an overview of the core concepts that form the underpinnings of epidemiology and epidemiologic research. Rather than focusing on statistics or formulas, Epidemiology presents the underlying epidemiologic principles and concepts in a coherent and straightforward exposition. This core content is supplemented with historical notes, a discussion of scientific inference, details about infectious disease epidemiology, and some advanced topics--including how to deal with missing data, the use of causal diagrams, and quantitative bias analysis techniques--that serve as an on-ramp into further study for those who elect to pursue it. By emphasizing a unifying set of ideas, students will develop a strong foundation for understanding the principles of epidemiologic research.

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9780197751541

Table of Contents

Reviews

""Is attending a nursery school riskier than piloting a fighter jet? Engaging and rigorous, the new edition of Epidemiology: An Introduction is a succinct yet comprehensive showcase of epidemiology, from big-picture themes like assessing causation to details of study design and analysis. The authors skillfully debunk our naïve 'common-sense' beliefs. In this post-pandemic world, students will love learning from this timely update of a timeless text, and teachers will love teaching with it."" -- Professor Vera Ehrenstein, Aarhus University, Denmark ""This book opens the door to the fascinating world of modern epidemiology, with its elegant approach to causal inference. It will convince you that human, rather than artificial, intelligence is the key to epidemiologic research and public health action."" -- Professor Halvor Sommerfelt, Centre for Intervention Science in Maternal and Child Health, University of Bergen, Norway and Norwegian Institute of Public Health

Author Information

Kenneth J. Rothman, DrPH, is Professor of Epidemiology at the Boston University School of Public Health. He is also Distinguished Fellow Emeritus at the Research Triangle Institute, an independent nonprofit research institute dedicated to improving the human condition. His research interests in epidemiology have spanned a range of health problems that includes cancer, cardiovascular disease, neurologic disease, birth defects, injuries, environmental exposures, and drug epidemiology. His main career focus, however, has been the development and teaching of the concepts and methods of epidemiologic research. Krista F. Huybrechts, PhD, is Professor of Medicine and Epidemiology at Harvard Medical School and Harvard T.H. Chan School of Public Health, where she teaches graduate-level courses in epidemiology. Her research centers on generating evidence regarding the safety and effectiveness of medication use during pregnancy to inform the unique benefit-risk trade-off faced by women of reproductive age and pregnant women. She is particularly interested in the proper use of large databases derived from health data collected in the context of routine medical care to address causal questions in perinatal epidemiology. She is a Fellow of the International Society for Pharmacoepidemiology. Eleanor J. Murray, ScD, is Assistant Professor of Epidemiology at the Boston University School of Public Health. Her research is on translational methodology for improving the quality of epidemiologic research, with particular focus on causal inference methods. She has developed and applied novel methods across a wide variety of public health issues including infectious disease, cardiovascular disease, dementia, alcohol and drug use disorders, occupational health issues, reproductive and perinatal health, and pharmacoepidemiology.

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