Applied Survival Analysis Using R (Record no. 28430)
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fixed length control field | 03403nam a22002777a 4500 |
001 - CONTROL NUMBER | |
control field | 20240826104908.0 |
003 - CONTROL NUMBER IDENTIFIER | |
control field | 20240826104908.0 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20240826105549.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 240826b |||||||| |||| 00| 0 eng d |
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 |
Koha item type | E-BOOKS |
Suppress in OPAC |
Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Home library | Current library | Date acquired | Total checkouts | Barcode | Date last seen | Price effective from | Koha item type |
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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 |