12/07/2011

Survival Analysis for Epidemiologic and Medical Research (Practical Guides to Biostatistics and Epidemiology) Review

Survival Analysis for Epidemiologic and Medical Research (Practical Guides to Biostatistics and Epidemiology)
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Ah, the shudder when a professor assigns his own book. But never fear, Steve Selvin, recipient of numerous teaching awards, is not publishing a book to line the faded jeans pocket, or to swell his balding curly head. Rather, it's just a practical way of printing his lecture notes and homeworks. Furthermore, its rare that a top research university professor has time to write textbooks, so the burden falls to the mediocre. Selvin somehow manages to find the time and save us from so many other books that screw up statistics.

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This practical guide shows why the analytic methods work and how to effectively analyze and interpret epidemiologic and medical survival data with the help of modern computer systems. The introduction presents a review of a variety of statistical methods that are not only key elements of survival analysis but are also central to statistical analysis in general. Techniques such as statistical tests, transformations, confidence intervals, and analytic modeling are presented in the context of survival data but are, in fact, statistical tools that apply to understanding the analysis of many kinds of data. Similarly, discussions of such statistical concepts such as bias, confounding, independence, and interaction are presented in the context of survival analysis as well as the basic components of a broad range of applications.

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