Nicht aus der Schweiz? Besuchen Sie lehmanns.de

Survival and Event History Analysis

A Process Point of View
Buch | Hardcover
541 Seiten
2008
Springer-Verlag New York Inc.
978-0-387-20287-7 (ISBN)

Lese- und Medienproben

Survival and Event History Analysis - Odd Aalen, Ornulf Borgan, Hakon Gjessing
CHF 269,60 inkl. MwSt
The aim of this book is to bridge the gap between standard textbook models and a range of models where the dynamic structure of the data manifests itself fully. they allow sensible interpretations of a number of surprising artifacts seen in population data.

The stochastic process framework is naturally connected to causality.
The aim of this book is to bridge the gap between standard textbook models and a range of models where the dynamic structure of the data manifests itself fully. The common denominator of such models is stochastic processes. The authors show how counting processes, martingales, and stochastic integrals fit very nicely with censored data. Beginning with standard analyses such as Kaplan-Meier plots and Cox regression, the presentation progresses to the additive hazard model and recurrent event data. Stochastic processes are also used as natural models for individual frailty; they allow sensible interpretations of a number of surprising artifacts seen in population data.


The stochastic process framework is naturally connected to causality. The authors show how dynamic path analyses can incorporate many modern causality ideas in a framework that takes the time aspect seriously.


To make the material accessible to the reader, a large number of practical examples, mainly frommedicine, are developed in detail. Stochastic processes are introduced in an intuitive and non-technical manner. The book is aimed at investigators who use event history methods and want a better understanding of the statistical concepts. It is suitable as a textbook for graduate courses in statistics and biostatistics.

  

An introduction to survival and event history analysis.- Stochastic processes in event history analysis.- Nonparametric analysis of survival and event history data.- Regression models.- Parametric counting process models.- Unobserved heterogeneity: The odd effects of frailty.- Multivariate frailty models.- Marginal and dynamic models for recurrent events and clustered survival data.- Causality.- First passage time models: Understanding the shape of the hazard rate.- Diffusion and L#x00E9;vy process models for dynamic frailty.

Erscheint lt. Verlag 12.8.2008
Reihe/Serie Statistics for Biology and Health
Zusatzinfo XVIII, 540 p.
Verlagsort New York, NY
Sprache englisch
Maße 155 x 235 mm
Themenwelt Mathematik / Informatik Informatik
Mathematik / Informatik Mathematik Wahrscheinlichkeit / Kombinatorik
Medizin / Pharmazie
ISBN-10 0-387-20287-0 / 0387202870
ISBN-13 978-0-387-20287-7 / 9780387202877
Zustand Neuware
Haben Sie eine Frage zum Produkt?
Mehr entdecken
aus dem Bereich

von Jim Sizemore; John Paul Mueller

Buch | Softcover (2024)
Wiley-VCH (Verlag)
CHF 39,20
Erfolg und Spaß im Horrorfach nichttechnischer Studiengänge

von Markus Oestreich; Oliver Romberg

Buch (2023)
Springer Spektrum (Verlag)
CHF 55,95