Competing risks and multistate models with R / Jan Beyersmann, Arthur Allignol, Martin Schumacher.
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TextLanguage: English Series: Use R!Publication details: New York : Springer, c2012. Description: xi, 245 p. : ill. ; 24 cmISBN: 9781461420347 (pbk. : alk. paper); 1461420342 (pbk. : alk. paper); 9781461420354 (eISBN)Subject(s): Statistics -- Computer programs | R (Computer program language)DDC classification: 519.502 LOC classification: QA276.4 | .B49 2012Online resources: WorldCat details | E-book Fulltext | Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | Item holds |
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| 519.5 TSI 2013 An introduction to analysis of financial data with R / | 519.5 WEI 2012 Introductory statistics. | 519.50113 VOI 2014 An introduction to statistical computing : | 519.502 BEC 2012 Competing risks and multistate models with R / | 519.50243 AGP 2014 Statistical methods for the social sciences / | 519.50285 KOD 2012 Data analysis using stata / | 519.50285 MAC Computational statistics handbook with MATLAB / |
Includes bibliographical references (p. 233-240) and index.
TOC Data examples.- An informal introduction to hazard-based analyses.- Competing risks.- Multistate modelling of competing risks.- Nonparametric estimation.- Proportional hazards models.- Nonparametric hypothesis testing.- Further topics in competing risks.- Multistate models and their connection to competing risks.- Nonparametric estimation.- Proportional transition hazards models.- Time-dependent covariates and multistate models.- Further topics in multistate modeling.
This book explains hazard-based analyses of competing risks and multistate data using the R statistical programming code, placing special emphasis on interpretation of results. Includes real data examples, and encourages readers to simulate their own data.
AS
Sagar Shahanawaz
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