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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