Survival and Event History Analysis

A Process Point of View

by: Odd O. Aalen - Ornulf Borgan - Hakon K. Gjessing

Survival and Event History Analysis
Author: Odd O. Aalen, Ornulf Borgan, Hakon K. Gjessing

Publisher: Springer-Verlag New York Inc.

Series: Statistics for Biology and Health

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Format: Paperback / softback

Publication date: 12 February 2010

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ISBN: 1441919090 ISBN 13: 9781441919090 This product is an E-publication based on: Survival and Event History Analysis (2008)

Survival and Event History Analysis by Odd O. Aalen - Ornulf Borgan - Hakon K. Gjessing

This text bridges the gap between standard models, and those where the dynamic structure of the data manifests itself fully. The common thread is stochastic processes. The authors show how martingales and stochastic integrals fit with censored data. Top page

Complete description

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 from medicine, 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. Top page

General info

Publisher & Imprint: Springer-Verlag New York Inc.

Edition details Softcover reprint of hardcover 1st ed. 2008

City: New York, NY

Pages: 560

More info: height 234 mm width 156 mm weight 848 gr thickness 28 mm

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Age recommended: Professional and scholarly

Subject Indexing & Classification Dewey:(DC22) 519.23 Library of Congress Subject: QA276-280 Statistics

Departments: Stochastics;

Record updated at: 24 July, 2014 time: 20:05

Summary Survival and Event History Analysis 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 Lévy process models for dynamic frailty. Top page

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