Interpreting Epidemiologic Evidence: Strategies for Study Design and Analysis
Interpreting Epidemiologic Evidence: Strategies for Study Design and Analysis Books
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Evaluating the strength or persuasiveness of epidemiologic evidence is inherently challenging, both for those new to the field and for experienced researchers. There are a myriad of potential biases to consider, but small guidance about how to asses the likely impact on study consequences. This book offers a strategy for assessing epidemiologic research findings, explicitly describing the goals and products of epidemiologic research in order to better evaluate it successes and limitations. The focus throughout is on matter-of-fact tools for making optimal use of available data to assess whether hypothesized biases are operative and to anticipate concerns at the top of study design in order to make sure that needed in rank is generated. Specific tools for assessing the presence and impact of selection bias in both cohort and case-control studies, bias from non-response, puzzling, 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 in rank should help those who generate and interpret epidemiologic research to apply matter-of-fact principles more effectively to substantive issues, leading to a more right appraisal of the current evidence and greater clarity about research needs.
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This book by David Savitz is an vital and welcome addition to the epidemiologist’s library. I ongoing 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 ongoing 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 in rank is presented in lucid prose without the use of mathematical notation. If you want to get the most out of your research endeavours, this book is for you. I reckon it should be required reading for every epidemiologist.
Rating: 5 / 5