Applied Survival Analysis Using R

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Beschreibung

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.

Über den Autor

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.

Zusammenfassung

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: [...]

Inhaltsverzeichnis

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.

Details

Erscheinungsjahr:	2016
Fachbereich:	Allgemeine Lexika
Genre:	Medizin
Rubrik:	Wissenschaften
Medium:	Taschenbuch
Seiten:	256
Reihe:	Use R!
Inhalt:	xiv 226 S. 40 s/w Illustr. 26 farbige Illustr. 226 p. 66 illus. 26 illus. in color.
ISBN-13:	9783319312439
ISBN-10:	331931243X
Sprache:	Englisch
Ausstattung / Beilage:	Paperback
Einband:	Kartoniert / Broschiert
Autor:	Moore, Dirk F.
Auflage:	1st ed. 2016
Hersteller:	Springer International Publishing Springer International Publishing AG Use R!
Maße:	235 x 155 x 15 mm
Von/Mit:	Dirk F. Moore
Erscheinungsdatum:	20.05.2016
Gewicht:	0,394 kg

preigu-id: 103980932