Applied Survival Analysis Using R by Dirk F. MooreApplied Survival Analysis Using R by Dirk F. Moore

Applied Survival Analysis Using R

byDirk F. Moore

Paperback | May 20, 2016

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Applied Survival Analysis Using Rcovers 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.

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 publ...
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Title:Applied Survival Analysis Using RFormat:PaperbackDimensions:226 pagesPublished:May 20, 2016Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:331931243X

ISBN - 13:9783319312439

Reviews

Table of Contents

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.

Editorial 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)