An introduction to classical biostatistical methods in epidemiology
Biostatistical Methods in Epidemiology provides an introduction to quite a lot of methods used to analysis epidemiologic data, with a give consideration to nonregression strategies. The textual content material consists of an in depth dialogue of measurement factors in epidemiology, notably confounding. Most chance, Mantel-Haenszel, and weighted least squares methods are launched for the analysis of closed cohort and case-administration data. Kaplan-Meier and Poisson methods are described for the analysis of censored survival data. A justification for using odds ratio methods in case-administration analysis is obtainable. Standardization of expenses is talked about and the event of strange, quite a lot of decrement and set off-deleted life tables is printed. Sample measurement formulation are given for quite a lot of epidemiologic analysis designs. The textual content material ends with a fast overview of logistic and Cox regression. Totally different highlights embrace: Many labored examples based mostly totally on exact data Dialogue of tangible methods Options for hottest methods In depth appendices and references
Biostatistical Methods in Epidemiology provides an outstanding introduction to the subject for school youngsters, whereas moreover serving as an entire reference for epidemiologists and totally different nicely being professionals.
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