Applied Survival Analysis Using R
Springer International Publishing (Verlag)
978-3-319-31243-9 (ISBN)
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 published numerous papers on the theory and application of survival analysis and other biostatistics methods to clinical trials and epidemiology studies.
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.
"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)
| Erscheinungsdatum | 24.06.2016 |
|---|---|
| Reihe/Serie | Use R! |
| Zusatzinfo | XIV, 226 p. 66 illus., 26 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 393 g |
| Themenwelt | Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik |
| Studium ► Querschnittsbereiche ► Epidemiologie / Med. Biometrie | |
| Naturwissenschaften ► Biologie | |
| Schlagworte | Biostatistics • Censoring • competing risks analyses • confidence intervals • epidemiology • log-rank test • mathematics and statistics • Nelson-Aalen nonparametric estimator • partial likelihood • Prentice-modification of Gehan test • product-limit Kaplan-Meier estimator • proportional hazards • Statistical Theory and Methods • Statistics for Life Sciences, Medicine, Health Sci • survival curves • Survival Data • truncation |
| ISBN-10 | 3-319-31243-X / 331931243X |
| ISBN-13 | 978-3-319-31243-9 / 9783319312439 |
| Zustand | Neuware |
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