Authors:
Clearly illustrates concepts of survival analysis principles and analyzes actual survival data using R, in addition to including an appendix with a basic introduction to R
Organized via basic concepts and most frequently used procedures, with advanced topics toward the end of the book and in appendices
Includes multiple original data sets that have not appeared in other textbooks
Includes supplementary material: sn.pub/extras
Part of the book series: Use R! (USE R)
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Table of contents (13 chapters)
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Front Matter
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Back Matter
About this book
Because explaining survival analysis requires more advanced mathematics than many other statistical topics, this book is organized with basic concepts and most frequently used procedures covered in earlier chapters, with more advanced topics near the end and in the appendices. A background in basic linear regression and categorical data analysis, as well as a basic knowledge of calculus and the R system, will help the reader to fully appreciate the information presented. Examples are simple and straightforward while still illustrating key points, shedding light on the application of survival analysis in a way that is useful for graduate students, researchers, and practitioners in biostatistics.
Keywords
- censoring
- partial likelihood
- proportional hazards
- survival data
- truncation
- competing risks analyses
- confidence intervals
- product-limit Kaplan-Meier estimator
- Nelson-Aalen nonparametric estimator
- survival curves
- log-rank test
- Prentice-modification of Gehan test
Reviews
“This book describes the principles of survival analysis, gives examples of how it is applied, and teaches how to put those principles to use to analyze data using R. … The intended audience includes students taking a master's level course in statistical theory and analysts who need to work with survival time data. … This is an excellent overview of the main principles of survival analysis and its applications with examples using R for the intended audience.” (Hemang B. Panchal, Doody’s Book Reviews, August, 2016)
Authors and Affiliations
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Department of Biostatistics, Rutgers School of Public Health, Piscataway, USA
Dirk F. Moore
About the author
Dirk F. Moore is Associate Professor of Biostatistics at the Rutgers School of Public Health and the Rutgers Cancer Institute of New Jersey. He received a Ph.D. in biostatistics from the University of Washington in Seattle and, prior to joining Rutgers, was a faculty member in the Statistics Department at Temple University. He has published numerous papers on the theory and application of survival analysis and other biostatistics methods to clinical trials and epidemiology studies.
Bibliographic Information
Book Title: Applied Survival Analysis Using R
Authors: Dirk F. Moore
Series Title: Use R!
DOI: https://doi.org/10.1007/978-3-319-31245-3
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Softcover ISBN: 978-3-319-31243-9Published: 20 May 2016
eBook ISBN: 978-3-319-31245-3Published: 11 May 2016
Series ISSN: 2197-5736
Series E-ISSN: 2197-5744
Edition Number: 1
Number of Pages: XIV, 226
Number of Illustrations: 40 b/w illustrations, 26 illustrations in colour
Topics: Statistics for Life Sciences, Medicine, Health Sciences, Biostatistics, Statistical Theory and Methods, Epidemiology