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Dynamic regression models for survival data

Author: Torben Martinussen; Thomas H Scheike
Publisher: New York, N.Y. : Springer, ©2006.
Series: Statistics for biology and health.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
"In survival analysis there has long been a need for models that go 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 specific aim of describing time-varying effects of explanatory variables. One model that receives  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Martinussen, Torben.
Dynamic regression models for survival data.
New York, N.Y. : Springer, ©2006
(DLC) 2005930808
(OCoLC)69021307
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Torben Martinussen; Thomas H Scheike
ISBN: 9780387339603 0387339604 0387202749 9780387202747
OCLC Number: 209962418
Description: 1 online resource (xiii, 470 pages) : illustrations.
Contents: Front Matter; Introduction; Probabilistic background; Estimation for filtered counting process data; Nonparametric procedures for survival data; Additive Hazards Models; Multiplicative hazards models; Multiplicative-Additive hazards models; Accelerated failure time and transformation models; Clustered failure time data; Competing Risks Model; Marked point process models; Back Matter.
Series Title: Statistics for biology and health.
Responsibility: Torben Martinussen, Thomas Scheike.
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Abstract:

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  Read more...

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From the reviews:"This book is a welcome addition to the literature on survival analysis for several reasons. The coverage of both multiplicative and, especially, additive models with time-varying Read more...

 
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