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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| Autors principals: | , , |
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| Format: | Livre numérique |
| Idioma: | Anglais |
| Publicat: |
New York, NY :
Springer New York : Springer e-books
[20..].
Cham : Springer Nature |
| Col·lecció: | Statistics for Biology and Health
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| Matèries: | |
| Accés en línia: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
L'impression du document génère 549 p. Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Survival and event history analysis, a process point of view, by Odd Aalen, Ørnulf Borgan, Håkon K. Gjessing, 2008, New York, Springer, 1 volume (XVIII-539 pages), Statistics for biology and health, 978-0-387-20287-7 |
Taula de continguts:
- 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