Biostatistical Methods in Epidemiology

<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>