Survival and Event History Analysis A Process Point of View /

• Κύριοι συγγραφείς: Aalen, Odd O. (Συγγραφέας), Borgan, Ørnulf (Συγγραφέας), Gjessing, Håkon K. (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: New York, NY : Springer New York, 2008.
• Σειρά: Statistics for Biology and Health,
• Θέματα: Mathematics.; Epidemiology.; Probabilities.; Statistics.; Quality control.; Reliability.; Industrial safety.; Econometrics.; Probability Theory and Stochastic Processes.; Statistics for Life Sciences, Medicine, Health Sciences.; Quality Control, Reliability, Safety and Risk.

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...

Πίνακας περιεχομένων:

• 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.