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Ajouter au panierEtat : Good. [ No Hassle 30 Day Returns ][ Ships Daily ] [ Underlining/Highlighting: NONE ] [ Writing: NONE ] [ Edition: first ] Publisher: Springer Pub Date: 3/20/2006 Binding: Hardcover Pages: 484 first edition.
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Ajouter au paniergebundene Ausgabe. Etat : Gut. 470 Seiten Der Erhaltungszustand des hier angebotenen Werks ist trotz seiner Bibliotheksnutzung sehr sauber und kann entsprechende Merkmale aufweisen (Rückenschild, Instituts-Stempel.). In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 845.
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Ajouter au panierEtat : New. pp. 488.
Langue: anglais
Edité par Chapman and Hall/CRC (edition 1), 2013
ISBN 10 : 1466555661 ISBN 13 : 9781466555662
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Ajouter au panierHardcover. Etat : Good. 1. It's a preowned item in good condition and includes all the pages. It may have some general signs of wear and tear, such as markings, highlighting, slight damage to the cover, minimal wear to the binding, etc., but they will not affect the overall reading experience.
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Ajouter au panierHardcover. Octavo, xvi, 640 pages. In Very Good minus condition. Spine is blue with white print. Boards in blue and grey glossy paper, white and blue print. NOTE: Shelved in Netdesk Column G (ND-G). 1378353. FP New Rockville Stock.
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Ajouter au panierhardcover. Etat : New. In shrink wrap. Looks like an interesting title!
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Ajouter au panierPaperback. Etat : Brand New. 656 pages. 9.01x5.98x1.38 inches. In Stock.
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Ajouter au panierEtat : New. pp. 656.
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Ajouter au panierEtat : New. pp. 486.
Langue: anglais
Edité par Springer New York, Springer New York Nov 2010, 2010
ISBN 10 : 144191904X ISBN 13 : 9781441919045
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Ajouter au panierTaschenbuch. Etat : Neu. Neuware -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 theoretical justification of the suggested procedures. It can be used as a textbook for a graduate/master course in survival analysis, and students will appreciate the exercises included after each chapter. The applied side of the book with many worked examples accompanied with R-code shows in detail how one can analyse real data and at the same time gives a deeper understanding of the underlying theory.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 484 pp. Englisch.
Langue: anglais
Edité par Springer New York, Springer New York, 2010
ISBN 10 : 144191904X ISBN 13 : 9781441919045
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Ajouter au panierTaschenbuch. Etat : Neu. 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 theoretical justification of the suggested procedures. It can be used as a textbook for a graduate/master course in survival analysis, and students will appreciate the exercises included after each chapter. The applied side of the book with many worked examples accompanied with R-code shows in detail how one can analyse real data and at the same time gives a deeper understanding of the underlying theory.
Langue: anglais
Edité par Chapman and Hall/CRC 2013-07-22, 2013
ISBN 10 : 1466555661 ISBN 13 : 9781466555662
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Ajouter au panierHardcover. Etat : New.
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Ajouter au panierHardcover. Etat : Like New. Like New. book.
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Ajouter au panierPaperback. Etat : Like New. Like New. book.
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Ajouter au panierHardcover. Etat : Brand New. 1st edition. 640 pages. 10.00x7.00x1.25 inches. In Stock.
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Ajouter au panierEtat : New. pp. 656 This item is printed on demand.
Langue: anglais
Edité par Springer New York Nov 2010, 2010
ISBN 10 : 144191904X ISBN 13 : 9781441919045
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
EUR 160,49
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Ajouter au panierTaschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 484 pp. Englisch.
Langue: anglais
Edité par Springer New York Mrz 2006, 2006
ISBN 10 : 0387202749 ISBN 13 : 9780387202747
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
EUR 160,49
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Ajouter au panierBuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 488 pp. Englisch.
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EUR 136,16
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Ajouter au panierEtat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. A key issue in this book is extensions of the Cox model and alternative models with most of them having the specific aim to be able to deal with time-varying effects of covariates in regression analysisThis book studies and applies modern flexible re.