Interpreting Epidemiologic Evidence: Strategies for Study Design & Analysis: Str

Description: Interpreting Epidemiologic Evidence: Strategies for Study Design & Analysis by David A. Savitz 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 little guidance about how to asses the likely impact on study results. Thisbook 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 practical tools for making optimal use of available data to assesswhether hypothesized 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 andinterpret 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. FORMAT Hardcover LANGUAGE English CONDITION Brand New Publisher Description 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. Author Biography David A. Savitz is at University of North Carolina. Table of Contents 1. Introduction ; 2. The Nature of Epidemiologic Evidence ; 3. Strategy for Drawing Inferences from Epidemiologic Evidence ; 4. Selection Bias in Cohort Studies ; 5. Selection Bias in Case-Control Studies ; 6. Bias Due to Loss of Study Participants ; 7. Confounding ; 8. Measurement and Classification of Exposure ; 9. Measurement and Classification of Disease ; 10. Random Error ; 11. Integration of Evidence across Studies ; 12. Characterization of Conclusions Review 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. Doodys Journal Long Description 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 little guidance about how to asses 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 itsuccesses and limitations. The focus throughout is on practical tools for making optimal use of available data to assess whether hypothesized biases are operative and to anticipate concerns at the point of study design in order to ensure that needed information is generated. Specific tools forassessing 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 tosubstantive issues, leading to a more accurate appraisal of the current evidence and greater clarity about research needs. Review Text "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 bringorder 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."--Doodys"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 bringorder 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 reading for all those involved in interpreting epidemiologic evidence."--Doodys"I will certainly be referring to this text in the future, and would recommend it as highly relevant to any practicing epidemiologist."--International Journal of Epidemiology Review Quote "This attractively presented book is extremely useful for professionalsand graduate students doing or evaluating epidemiologic research. I have notseen another book like this one that so successfully integrates content andexperience. The author has assembled a book that is necessary and essentialreading for all those involved in interpreting epidemiologicevidence."--Doodys Promotional "Headline" 1. Introduction 2. The Nature of Epidemiologic Evidence 3. Strategy for Drawing Inferences from Epidemiology Evidence 4. Selection Bias in Cohort Studies 5. Selection Bias in Case-Control Studies 6. Bias Due to Loss of Study Participants 7. Confounding 8. Measurement and Classification of Exposure 9. Measurement and Classification of Disease 10. Random Error 11. Integration of Evidence across Studies 12. Characterization of Conclusions Details ISBN019510840X Author David A. Savitz Short Title INTERPRETING EPIDEMIOLOGIC EVI Pages 336 Publisher Oxford University Press, USA Series Medicine Language English ISBN-10 019510840X ISBN-13 9780195108408 Media Book Format Hardcover DEWEY 614.4 Year 2003 Publication Date 2003-06-30 Subtitle Strategies for Study Design and Analysis Country of Publication United States Edition 1st Imprint Oxford University Press Inc Place of Publication New York Audience Professional and Scholarly Illustrations 6 figures and numerous tables DOI 10.1604/9780195108408 We've got this At The Nile, if you're looking for it, we've got it. 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