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Biostatistical Methods in Epidemiology


Biostatistical Methods in Epidemiology


Wiley Series in Probability and Statistics, Band 484 1. Aufl.

von: Stephen C. Newman

171,99 €

Verlag: Wiley
Format: PDF
Veröffentl.: 11.04.2003
ISBN/EAN: 9780471461609
Sprache: englisch
Anzahl Seiten: 408

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Beschreibungen

<b>An introduction to classical biostatistical methods in epidemiology</b> <p><b><i>Biostatistical Methods in Epidemiology</i></b> provides an introduction to a wide range of methods used to analyze epidemiologic data, with a focus on nonregression techniques. The text includes an extensive discussion of measurement issues in epidemiology, especially confounding. Maximum likelihood, Mantel-Haenszel, and weighted least squares methods are presented for the analysis of closed cohort and case-control data. Kaplan-Meier and Poisson methods are described for the analysis of censored survival data. A justification for using odds ratio methods in case-control studies is provided. Standardization of rates is discussed and the construction of ordinary, multiple decrement and cause-deleted life tables is outlined. Sample size formulas are given for a range of epidemiologic study designs. The text ends with a brief overview of logistic and Cox regression. Other highlights include:</p> <ul> <li>Many worked examples based on actual data</li> <li>Discussion of exact methods</li> <li>Recommendations for preferred methods</li> <li>Extensive appendices and references</li> </ul> <p><b><i>Biostatistical Methods in Epidemiology</i></b> provides an excellent introduction to the subject for students, while also serving as a comprehensive reference for epidemiologists and other health professionals.<br /> For more information, visit www.wiley.com/mathematics</p>
Introduction.<br /> <br /> Measurement Issues in Epidemiology.<br /> <br /> Binomial Methods for Single Sample Closed Cohort Data.<br /> <br /> Odds Ratio Methods for Unstratified Closed Cohort Data.<br /> <br /> Odds Ratio Methods for Stratified Closed Cohort Data.<br /> <br /> Risk Ratio Methods for Closed Cohort Data.<br /> <br /> Risk Difference Methods for Closed Cohort Data.<br /> <br /> Survival Analysis.<br /> <br /> Kaplan-Meier and Actuarial Methods for Censored Survival Data.<br /> <br /> Poisson Methods for Censored Survival Data.<br /> <br /> Odds Ratio Methods for Case-Control Data.<br /> <br /> Standardized Rates and Age-Period-Cohort Analysis.<br /> <br /> Life Tables.<br /> <br /> Sample Size and Power.<br /> <br /> Logistic Regression and Cox Regression.<br /> <br /> Appendix A: Odds Ratio Inequality.<br /> <br /> Appendix B: Maximum Likelihood Theory.<br /> <br /> Appendix C: Hypergeometric and Conditional Poisson Distributions.<br /> <br /> Appendix D: Quadratic Equation for the Odds Ratio.<br /> <br /> Appendix E: Matrix Identities and Inequalities.<br /> <br /> Appendix F: Survival Analysis and Life Tables.<br /> <br /> Appendix G: Confounding in Open Cohort and Case-Control Studies.<br /> <br /> Appendix H: Odds Ratio Estimate in a Matched Case-Control Study.<br /> <br /> References.<br /> <br /> Index.
“…besides being a reference book (it)…includes an interesting reading matter…” (<i>Statistics in Medicine</i>, Vol.23, No.23, 15th December 2004) <p>"Introduces methods used to analyze epidemiologic data, with a focus on non-regression techniques." (<i>SciTech Book News</i>, Vol. 25, No. 4, December 2001)</p> <p>"...well suited as an introductory text.... I also recommend this book to practitioners...students, health professionals and epidemiologists…all these groups will find it useful." (<i>Statistical Methods in Medical Research</i>, Vol. 11, No. 1, 2002)</p> <p>"This book has much to recommend it...a useful resource on basic techniques and a supplement to other texts for an intermediate-level audience." (<i>Epidemiology</i>, Vol. 13, No. 3, May 2002)</p> <p>"offers a very thorough presentation....profuse and excellent illustrations." (<i>Technometrics</i>, Vol. 44, No. 3, August 2002)</p> <p>"...both a pleasure to read and an excellent reference...researchers and students alike will benefit from having this book on their shelves..." (<i>Journal of the American Statistical Association</i>, March 2003)</p>
STEPHEN C. NEWMAN, MD, MSc, is Professor of Psychiatry at the University of Alberta, Canada.
An introduction to classical biostatistical methods in epidemiology<br /> <br /> Biostatistical Methods in Epidemiology provides an introduction to a wide range of methods used to analyze epidemiologic data, with a focus on nonregression techniques. The text includes an extensive discussion of measurement issues in epidemiology, especially confounding. Maximum likelihood, Mantel-Haenszel, and weighted least squares methods are presented for the analysis of closed cohort and case-control data. Kaplan-Meier and Poisson methods are described for the analysis of censored survival data. A justification for using odds ratio methods in case-control studies is provided. Standardization of rates is discussed and the construction of ordinary, multiple decrement and cause-deleted life tables is outlined. Sample size formulas are given for a range of epidemiologic study designs. The text ends with a brief overview of logistic and Cox regression. Other highlights include:<br /> * Many worked examples based on actual data<br /> * Discussion of exact methods<br /> * Recommendations for preferred methods<br /> * Extensive appendices and references<br /> <br /> Biostatistical Methods in Epidemiology provides an excellent introduction to the subject for students, while also serving as a comprehensive reference for epidemiologists and other health professionals.<br /> <br /> For more information, visit www.wiley.com/mathematics

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