Warenkorb
€ 0,00 0 Buch dabei,
portofrei
Klick ins Buch Dynamic Regression Models for Survival Data als Buch
PORTO-
FREI

Dynamic Regression Models for Survival Data

'Statistics for Biology and Health'. and and. 75 schwarz-weiße Abbildungen, 75 schwarz-weiße Zeichnungen.…
Buch (gebunden)
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 suggeste … weiterlesen
Dieses Buch ist auch verfügbar als:
Buch

140,49*

inkl. MwSt.
Portofrei
Sofort lieferbar
Dynamic Regression Models for Survival Data als Buch

Produktdetails

Titel: Dynamic Regression Models for Survival Data
Autor/en: Torben Martinussen, Thomas H. Scheike

ISBN: 0387202749
EAN: 9780387202747
'Statistics for Biology and Health'.
and and.
75 schwarz-weiße Abbildungen, 75 schwarz-weiße Zeichnungen.
Sprache: Englisch.
Springer-Verlag GmbH

20. März 2006 - gebunden - XIV

Beschreibung

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.

Inhaltsverzeichnis

From the Contents:
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

Pressestimmen

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 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)

"'Dynamic regression models' ... are able to capture time-varying dynamics of covariate effects. ... this book provides a timely summary of the results for topics which are important to practical applications. The readers who are interested in further research in these areas will find the detailed derivations of mathematical results helpful. ... The rich exercises at the end of each chapter make this book an excellent choice as a textbook for an advanced survival analysis course." (Dongsheng Tu, Zentrablatt MATH, Vol. 1096 (22), 2006)

"Survival data analysis has been a very active research field for several decades. An important contribution that stimulated the entire field was the counting process formulation ... . that is also used in this monograph. ... There are exercises at the end of each chapter ... . The practical aspects of survival analysis are illustrated with a set of worked out examples using R. ... The book is primarily aimed at the biostatistical community ... . It is well written ... ." (Rainer Schlittgen, Statistical Papers, Vol. 48 (3), 2007)

"The book under review is a welcome addition to existing excellent books on survival analysis ... . It should be a useful reference to both applied as well as theoretical bio-statisticians. Perhaps it could also be used as a text for a graduate level course in survival analysis." (Subhash C. Kochar, Mathematical Reviews, Issue 2007 b)

"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)

Mehr aus dieser Reihe

zurück
Bayesian Methods in Structural Bioinformatics
Buch (gebunden)
Analysis of Genetic Association Studies
Buch (gebunden)
von Gang Zheng, Yani…
Statistical Genetics of Quantitative Traits
Buch (gebunden)
von Rongling Wu, Cha…
The Statistics of Gene Mapping
Buch (gebunden)
von David Siegmund, …
The Statistical Analysis of Recurrent Events
Buch (gebunden)
von Richard J. Cook,…
vor
Servicehotline
089 - 70 80 99 47

Mo. - Fr. 8.00 - 20.00 Uhr
Sa. 10.00 - 20.00 Uhr
Filialhotline
089 - 30 75 75 75

Mo. - Sa. 9.00 - 20.00 Uhr
Bleiben Sie in Kontakt:
Sicher & bequem bezahlen:
akzeptierte Zahlungsarten: Überweisung, offene Rechnung,
Visa, Master Card, American Express, Paypal
Zustellung durch:
* Alle Preise verstehen sich inkl. der gesetzlichen MwSt. Informationen über den Versand und anfallende Versandkosten finden Sie hier.
** Deutschsprachige eBooks und Bücher dürfen aufgrund der in Deutschland geltenden Buchpreisbindung und/oder Vorgaben von Verlagen nicht rabattiert werden. Soweit von uns deutschsprachige eBooks und Bücher günstiger angezeigt werden, wurde bei diesen kürzlich von den Verlagen der Preis gesenkt oder die Buchpreisbindung wurde für diese Titel inzwischen aufgehoben. Angaben zu Preisnachlässen beziehen sich auf den dargestellten Vergleichspreis.