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Dynamic Regression Models for Survival Data (Statistics for Biology and Health)

By: Thomas H. Scheike (Author) , Torben Martinussen (Author)

Extended Catalogue

Ksh 29,650.00

Format: Hardback or Cased Book

ISBN-10: 0387202749

ISBN-13: 9780387202747

Collection / Series: Statistics for Biology and Health

Collection Type: Publisher collection

Publisher: Springer-Verlag New York Inc.

Imprint: Springer-Verlag New York Inc.

Country of Manufacture: US

Country of Publication: GB

Publication Date: Mar 20th, 2006

Publication Status: Active

Product extent: 470 Pages

Product Classification / Subject(s): Probability & statistics

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In survival analysis there has long been a need for models that goes beyond the Cox model as the proportional hazards assumption often fails in practice.

This book studies and applies modern flexible regression models for survival data with a special focus on extensions of the Cox model and alternative models with the aim of describing time-varying effects of explanatory variables. Use of the suggested models and methods is illustrated on real data examples, using the R-package timereg developed by the authors, which is applied throughout the book with worked examples for the data sets.


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