Applied survival analysis using R [electronic resource] / Dirk F. Moore.
Moore, Dirk Foster, author.
2016
QA276
Available Online

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Title Applied survival analysis using R [electronic resource] / Dirk F. Moore.
Author Moore, Dirk Foster, author.
ISBN 9783319312453 (electronic book)
3319312456 (electronic book)
9783319312439
Published Switzerland : Springer, 2016.
Language English
Description 1 online resource (xiv, 226 pages) : illustrations.
Call Number QA276
Dewey Decimal Classification 519.5/46
Summary Applied Survival Analysis Using R covers the main 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 as a vehicle. Survival data, where the primary outcome is time to a specific event, arise in many areas of biomedical research, including clinical trials, epidemiological studies, and studies of animals. Many survival methods are extensions of techniques used in linear regression and categorical data, while other aspects of this field are unique to survival data. This text employs numerous actual examples to illustrate survival curve estimation, comparison of survivals of different groups, proper accounting for censoring and truncation, model variable selection, and residual analysis. 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. 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 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.
Bibliography, etc. Note Includes bibliographical references and indexes.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed May 19, 2016).
Series Use R!
Available in Other Form Applied Survival Analysis Using R.
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Introduction
Basic Principles of Survival Analysis
Nonparametric Survival Curve Estimation
Nonparametric Comparison of Survival Distributions
Regression Analysis Using the Proportional Hazards Model
Model Selection and Interpretation
Model Diagnostics
Time Dependent Covariates
Multiple Survival Outcomes and Competing Risks
Parametric Models
Sample Size Determination for Survival Studies
Additional Topics
References
Appendix A
Index
R Package Index.

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