Survival Analysis for Epidemiologic and Medical Research
By (author) Steve Selvin
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Survival Analysis for Epidemiologic and Medical Research by Steve Selvin
Book DescriptionThis 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.
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Book DetailsISBN: 9780521895194
(247mm x 174mm x 22mm)
Imprint: Cambridge University Press
Publisher: Cambridge University Press
Publish Date: 3-Mar-2008
Country of Publication: United Kingdom
Books By Author Steve Selvin
Biostatistics Toolbox for Data Analysis, Hardback (October 2015)
This book delivers a sophisticated package of statistical methods for advanced master's (MPH) and PhD students in public health and epidemiology, involved in data analysis.
Survival Analysis for Epidemiologic and Medical Research, Paperback (March 2008)
For readers with a minimal background in statistics, this text shows how to analyze and interpret epidemiological and medical survival data.
Statistical Analysis of Epidemiologic Data, Hardback (May 2004)» View all books by Steve Selvin
This popular intermediate-level text continues to focus sharply on clear and practical descriptions of statistical methods for analysing epidemiological data. Thoroughly revised throughout, the third edition includes a new chapter on Poisson regression analysis, along with many new applied examples and many fresh discussions of key analytic issues.
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Author Biography - Steve Selvin
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.
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