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.
For more information, visit www.wiley.com/mathematics
Table of Content
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.
About the author
STEPHEN C. NEWMAN, MD, MSc, is Professor of Psychiatry at the University of Alberta, Canada.
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