Un frailty aditivo en modelos de supervivencia bivariante
- 1 Universidad de Granada, Facultad de Ciencias, Departamento de estadística e Investigación Operativa
ISSN: 2215-3373, 2215-3373
Year of publication: 1999
Volume: 6
Issue: 2
Pages: 145-152
Type: Article
More publications in: Revista de Matemática: Teoría y Aplicaciones
Sustainable development goals
Abstract
Bivariate survival models based on the presence of an unobseved random covariate, grailty, tend to assume a proportional hazard hypothesis. A bivariate survival model is constructed. It is based on frailty model that acts additivelky on the hazard function.Keywords: survival times, frailty, dependence, proportional risk.
Bibliographic References
- Cox,D.R. and Oakes, D. (1984). Analysis of survival data. Chapman and Hall. London.
- Hougaard, P.(1986a).”A class of multivariate failure time distribution”. Biometrika, 73,671-8.
- Hougaard, P.(1986b). ”Survival models for heterogeneous populations derived from stable distributions” .Biometrika,73,387-96.
- Navarrete Alvarez, E.(1997). ”Aportaciones a la formulación de modelos, estudio de la asociación y estimación en análisis de datos de supervivencia multivariante”. Tesis doctoral. Universidad de Granada. Granada
- Oakes, D. (1989).”Bivariante survical models induced by frailties”. Journal of the American Statistical Association, 84,406,487-493.
- Vaupel, J.W.,Manton, K.G. and Stallard, E. (1979). ”The impact of heterogeneity in individual frailty and the dynamics of mortality”. Demography, 16, 439-454.