Survival Analysis for Epidemiologic and Medical Research

Survival Analysis for Epidemiologic and Medical Research
By:Steve Selvin
Published on 2008-03-03 by Cambridge University Press



This practical guide to survival data and its analysis for readers with a minimal background in statistics 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 as bias, confounding, independence, and interaction are presented in the context of survival analysis and also are basic components of a broad range of applications. These topics make up essentially a 'second-year', one-semester biostatistics course in survival analysis concepts and techniques for non-statisticians.

This Book was ranked at 8 by Google Books for keyword survival.

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Book which was published by Cambridge University Press since 2008-03-03 have ISBNs, ISBN 13 Code is 9781139471244 and ISBN 10 Code is 1139471244

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