# Biostatistical Methods in Epidemiology. Wiley Series in Probability and Statistics

• ID: 2181112
• Book
• 408 Pages
• John Wiley and Sons Ltd
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An introduction to classical biostatistical methods in epidemiology

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:

∗ Many worked examples based on actual data

∗ Discussion of exact methods

∗ Recommendations for preferred methods

∗ Extensive appendices and references

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.

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Introduction.

Measurement Issues in Epidemiology.

Binomial Methods for Single Sample Closed Cohort Data.

Odds Ratio Methods for Unstratified Closed Cohort Data.

Odds Ratio Methods for Stratified Closed Cohort Data.

Risk Ratio Methods for Closed Cohort Data.

Risk Difference Methods for Closed Cohort Data.

Survival Analysis.

Kaplan–Meier and Actuarial Methods for Censored Survival Data.

Poisson Methods for Censored Survival Data.

Odds Ratio Methods for Case–Control Data.

Standardized Rates and Age–Period–Cohort Analysis.

Life Tables.

Sample Size and Power.

Logistic Regression and Cox Regression.

Appendix A: Odds Ratio Inequality.

Appendix B: Maximum Likelihood Theory.

Appendix C: Hypergeometric and Conditional Poisson Distributions.

Appendix D: Quadratic Equation for the Odds Ratio.

Appendix E: Matrix Identities and Inequalities.

Appendix F: Survival Analysis and Life Tables.

Appendix G: Confounding in Open Cohort and Case–Control Studies.

Appendix H: Odds Ratio Estimate in a Matched Case–Control Study.

References.

Index.
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besides being a reference book (it) includes an interesting reading matter (Statistics in Medicine, Vol.23, No.23, 15th December 2004)

"Introduces methods used to analyze epidemiologic data, with a focus on non–regression techniques." (SciTech Book News, Vol. 25, No. 4, December 2001)

"...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." (Statistical Methods in Medical Research, Vol. 11, No. 1, 2002)

"This book has much to recommend it...a useful resource on basic techniques and a supplement to other texts for an intermediate–level audience." (Epidemiology, Vol. 13, No. 3, May 2002)

"offers a very thorough presentation....profuse and excellent illustrations." (Technometrics, Vol. 44, No. 3, August 2002)

"...both a pleasure to read and an excellent reference...researchers and students alike will benefit from having this book on their shelves..." (Journal of the American Statistical Association, March 2003)

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