Titre: Dynamic Regression Models for Survival Data (Statistics for Biology and Health)
�diteur: Springer
Date de parution: 2010
Langue: anglais
ISBN � 10 chiffres: 144191904X
ISBN � 13 chiffres: 9781441919045
Reliure: Couverture souple
�tat de l'article: New

A propos de ce titre

Synopsis

This book shows the usefulness of counting processes and marked poit processes when dealing with non-parametric and semi-parametric statistical problems.

Revue de presse

"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 covariates is well beyond that found in other books. There is also more emphasis on model checking than in most books. ... the book is enjoyable to read. ... This book is an important resource for anyone with an interest in survival or event history analysis." --J. F. Lawless, Short Book Reviews, Vol. 26 (2), 2006

"This book is aimed at advanced graduate students and statistical researchers in statistics/biostatistics departments. ... The inspiration and influence of Andersen et al. (1993) on the presentation style, terminology, and approach to the subject are very visible in many parts of the book. ... In summary, this book definitely deserves a place in the collection of any serious survival analyst. It is also recommended to theoretically sound data analysts interested in dynamic and semiparametric survival models beyond the class of multiplicative models." --Debajyoti Sinha, Journal of the American Statistical Association, Vol. 102 (480), 2007

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