Survival and Event History Analysis A Process Point of View /

Time-to-event data are ubiquitous in fields such as medicine, biology, demography, sociology, economics and reliability theory. Recently, a need to analyze more complex event histories has emerged. Examples are individuals that move among several states, frailty that makes some units fail before oth...

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Bibliographic Details
Call Number:Libro Electrónico
Main Authors: Aalen, Odd (Author), Borgan, Ornulf (Author), Gjessing, Hakon (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:Inglés
Published: New York, NY : Springer New York : Imprint: Springer, 2008.
Edition:1st ed. 2008.
Series:Statistics for Biology and Health,
Subjects:
Probabilities.
Biometry.
Epidemiology.
Econometrics.
Security systems.
Probability Theory.
Biostatistics.
Security Science and Technology.
Online Access:Texto Completo
Table of Contents:
  • 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.

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