Interpreting Epidemiologic Evidence: Strategies for Study Design and Analysis

Description
This book offers a strategy for assessing epidemiologic research findings. Specific tools for assessing the presence and impact of selection bias in both cohort and case-control studies, bias from non-response, confounding, exposure measurement error, disease measurement error, and random error are identified and evaluated. Such information should help those who generate and interpret epidemiological research make a more accurate appraisal of the current evidence and gain greater clarity about research needs.
Reviews

"Savitz draws on a vast number of studies to produce insights that will alert readers to mistakes and pitfalls. The author is to be commended for his contributions to the field. I predict that in departments with active research and graduate level studies, the Savitz book will be tattered and torn well before the basic text shows signs of wear." –JAMA

"Savitz has provided us with an elegant perspective on the major concerns in interpreting epidemiologic literature. ..he takes us through all of the major issues in a most readable and logical format, making this book required reading for the novice and the professional. In addition, the book is a primer for policymakers who need to use epidemiologic results in making public health policy decisions. Savitz points out how using planned common sense can bring order to complex datasets and clarity to disparate results and interpretations. ..it will make anyone committed to the field a better epidemioligist." –Epidemiology

"This attractively presented book is extremely useful for professionals and graduate students doing or evaluating epidemiologic research. I have not seen another book like this one that so successfully integrates content and experience. The author has assembled a book that is necessary and essential for all those involved in interpreting epidemiologic evidence."–Doody's


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