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ISBN10: 0387202749, ISBN13: 9780387202747, [publisher: Springer] Hardcover New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service. [Irving, TX, U.S.A.] [Publication Year: 2006]
Springer 2006 first Hard cover Good [ No Hassle 30 Day Returns ] [ Edition: first ] Publisher: Springer Pub Date: 3/20/2006 Binding: Hardcover Pages: 484.
ISBN10: 0387202749, ISBN13: 9780387202747, [publisher: Springer] Hardcover New. Fast Shipping and good customer service [Fayetteville, TX, U.S.A.] [Publication Year: 2006]
ISBN10: 0387202749, ISBN13: 9780387202747, [publisher: Springer New York] Hardcover Druck auf Anfrage Neuware - Printed after ordering - 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 specific aim of describing time-varying effects of explanatory variables. One model that receives special attention is Aalen's additive hazards model that is particularly well suited for dealing with time-varying effects. The book covers the use of residuals and resampling techniques to assess the fit of the models and also points out how the suggested models can be utilised for clustered survival data. The authors demonstrate the practically important aspect of how to do hypothesis testing of time-varying effects making backwards model selection strategies possible for the flexible models considered.The use of the suggested models and methods is illustrated on real data examples. The methods are available in the R-package timereg developed by the authors, which is applied throughout the book with worked examples for the data sets. This gives the reader a unique chance of obtaining hands-on experience.This book is well suited for statistical consultants as well as for those who would like to see more about the theo ...
ISBN10: 0387202749, ISBN13: 9780387202747, [publisher: Springer New York] Hardcover Druck auf Anfrage Neuware - Printed after ordering - 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 specific aim of describing time-varying effects of explanatory variables. One model that receives special attention is Aalen's additive hazards model that is particularly well suited for dealing with time-varying effects. The book covers the use of residuals and resampling techniques to assess the fit of the models and also points out how the suggested models can be utilised for clustered survival data. The authors demonstrate the practically important aspect of how to do hypothesis testing of time-varying effects making backwards model selection strategies possible for the flexible models considered.The use of the suggested models and methods is illustrated on real data examples. The methods are available in the R-package timereg developed by the authors, which is applied throughout the book with worked examples for the data sets. This gives the reader a unique chance of obtaining hands-on experience.This book is well suited for statistical consultants as well as for those who would like to see more about the theo ...
Hard Cover. New. New Book; Fast Shipping from UK; Not signed; Not First Edition; The Dynamic Regression Models for Survival Data. ISBN 0387202749 9780387202747 [GB]
ISBN10: 0387202749, ISBN13: 9780387202747, [publisher: Springer] Hardcover Buy with confidence! Book is in good condition with minor wear to the pages, binding, and minor marks within [Amherst, NY, U.S.A.] [Publication Year: 2006]
Springer, Date: 2006. New. 2006. Springer ISBN 0387202749 9780387202747 [IN]
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