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Survival Analysis for Epidemiologic and Medical Research

by Steve Selvin

2020-11-20 02:17:46

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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 met... Read more
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. Less

Book Details

Publication date March 3, 2008
Languageeng
ISBN9780511380716
autor-image
Steve Selvin
Author
Steve Selvin is a professor of biostatistics and epidemiology at the University of California, Berkeley. He has taught on the Berkeley campus for more than 40 years. Professor Selvin is also a member...

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