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Survival Analysis for Epidemiologic and Medical Research A Practical Guide

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ISBN-10: 0521719372

ISBN-13: 9780521719377

Edition: 2008

Authors: Steve Selvin

List price: $51.99
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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,…    
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Book details

List price: $51.99
Copyright year: 2008
Publisher: Cambridge University Press
Publication date: 3/3/2008
Binding: Paperback
Pages: 296
Size: 6.85" wide x 9.72" long x 0.63" tall
Weight: 1.100
Language: English

Edwin B. Parker Professor of Foreign and Comparative Law at Columbia Law School, Professor at the University of Neuch�tel, and a member of the Centre for Economic Policy Research.Steve Selvin is Professor of Biostatistics and Epidemiology at the University of California, Berkeley. He has taught on the Berkeley campus for 35 years and has authored or co-authored more than 200 scientific articles in the areas of applied statistics and epidemiology. He has received two university teaching awards and is a member of the ASPH/Pfizer Public Health Academy of Distinguished Teachers.

Rates and their properties
Life tables
Two especially useful estimation tools
Product-limit estimation
Exponential survival time probability distribution
Weibull survival time probability distribution
Analysis of two-sample survival data
General hazards model: parametric
General hazards model: nonparametric
Examples of R
Problem set