Applied Survival Analysis Using R (Record no. 28430)

MARC details
000 -LEADER
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001 - CONTROL NUMBER
control field 20240826104908.0
003 - CONTROL NUMBER IDENTIFIER
control field 20240826104908.0
005 - DATE AND TIME OF LATEST TRANSACTION
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008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 978-3-319-31243-9
International Standard Book Number 978-3-319-31245-3
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
International Standard Serial Number 2197-5736
International Standard Serial Number 2197-5744
040 ## - CATALOGING SOURCE
Transcribing agency ddc
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title English
100 ## - MAIN ENTRY--PERSONAL NAME
Fuller form of name Dirk F. Moore
245 ## - TITLE STATEMENT
Title Applied Survival Analysis Using R
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Piscataway, NJ, USA :
Name of publisher, distributor, etc. Springer International Publishing Switzerland :
Date of publication, distribution, etc. 2016
300 ## - PHYSICAL DESCRIPTION
Extent 234 Pages
Extent Includes References and Index
490 ## - SERIES STATEMENT
Series statement Use R!
520 ## - SUMMARY, ETC.
Summary, etc. 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 ROrganized via basic concepts and most frequently used procedures, with advanced topics toward the end of the book and in appendicesIncludes 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.
600 ## - SUBJECT ADDED ENTRY--PERSONAL NAME
General subdivision Biometry, Epidemiology, Mathematics / Probability & Statistics / General, Medical / Biostatistics, Medical / Epidemiology, Medical / General, Science / Life Sciences / General, Statistics, Science / Life Sciences / Biology, Failure time data analysis, Survival analysis (Biometry).
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="DOI 10.1007/978-3-319-31245-3">DOI 10.1007/978-3-319-31245-3</a>
Link text DOI 10.1007/978-3-319-31245-3
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme ddc
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          MWALIMU NYERERE LEARNING RESOURCES CENTRE-CUHAS BUGANDO MWALIMU NYERERE LEARNING RESOURCES CENTRE-CUHAS BUGANDO 08/26/2024   20240826104908.0 08/26/2024 08/26/2024 E-BOOKS
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