Interpreting Epidemiologic Evidence: Strategies for Study Design & Analysis: Strategies for Study Design and Analysis (Monographs in Epidemiology & Biostatistics) Hardcover – 1 Jun 2003
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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 reading for all those involved in interpreting epidemiologic evidence. (Doody's Journal)
Evaluating the strength or persuasiveness of epidemiologic evidence is inherently challenging, both for those new to the field and for experienced researchers. There is a myriad of potential biases to consider, but little guidance about how to assess the likely impact on study results. This book offers a strategy for assessing epidemiologic research findings, explicitly describing the goals and products of epidemiologic research in order to better evaluate its successes and limitations. The focus throughout is on practical tools for making optimal use of available data to assess whether hypothesised biases are operative and to anticipate concerns at the point of study design in order to ensure that needed information is generated. 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. The potential value of each approach as well as its limitations are discussed, using examples from the published literature.Such information should help those who generate and interpret epidemiologic research to apply methodological principles more effectively to substantive issues, leading to a more accurate appraisal of the current evidence and greater clarity about research needs.
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Most helpful customer reviews on Amazon.com
Amazon.com: 4 reviews
Great writing on epidemiology
12 December 2012 - Published on Amazon.com
One person found this helpful.
I spoke with David Savitz at a conference the same year I had finished reading this book. He is a very bright scientist, and the book truly illuminates his insight into epidemiology. I was surprised this was not required reading in my PhD program. This book is suitable for graduate level students as well as professionals who conduct or rely on research and want a better understanding of the field.
1 February 2015 - Published on Amazon.com
brought for course. good as expected
3 March 2012 - Published on Amazon.com
One person found this helpful.
this book is written in dense Epi style. Don't buy it unless you are taking advanced courses in Epi. I am just starting to appreciate it now, and I've been studying Epi for many years.
Required reading for every epidemiologist
12 December 2009 - Published on Amazon.com
4 people found this helpful.
This book by David Savitz is an important and welcome addition to the epidemiologist's library. I started reading it after my first year of doctoral studies but I did not fully appreciate the usefulness of Dr. Savitz's insights until after I started doing independent research as a academic physician-epidemiologist. The book is well-written and presents the various methodologic challenges faced by epidemiologic researchers in a logical and coherent way. The chapter on selection bias is particularly illuminating. Remarkably, all the information is presented in lucid prose without the use of mathematical notation. If you would like to get the most out of your research endeavours, this book is for you. I think it should be required reading for every epidemiologist.