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Survival Analysis for Epidemiologic and Medical Research


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Table of Contents

1. Rates and their properties; 2. Life tables; 3. Two especially useful estimation tools; 4. Product-limit estimation; 5. Exponential survival time probability distribution; 6. Weibull survival time probability distribution; 7. Analysis of two-sample survival data; 8. General hazards model: parametric; 9. General hazards model: nonparametric.

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For readers with a minimal background in statistics, this text shows how to analyze and interpret epidemiological and medical survival data.

About the Author

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.


'... for students who know very little about statistics and mathematics this book is a welcome resource on the techniques used to analyse time-to-event data. These techniques are introduced in a non-technical way accompanied with many good examples. Also the included R-code gives a good introduction to the practical analysis.' Biometrical Journal
'This book provides an easy-to-read introduction to the fundamental concepts applicable to survival analysis without relying on mathematical prerequisites. ... [the] text gives a thorough introduction to the area of survival analysis for those with little prior statistical knowledge.' International Journal of Epidemiology

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