𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Nonparametric estimation of competing risks models with covariates

✍ Scribed by Jean-David Fermanian


Publisher
Elsevier Science
Year
2003
Tongue
English
Weight
355 KB
Volume
85
Category
Article
ISSN
0047-259X

No coin nor oath required. For personal study only.


πŸ“œ SIMILAR VOLUMES


Large Sample Properties of Mixture Model
✍ K.C. Choi; X. Zhou πŸ“‚ Article πŸ“… 2002 πŸ› Elsevier Science 🌐 English βš– 225 KB

We study the large-sample properties of a class of parametric mixture models with covariates for competing risks. The models allow general distributions for the survival times and incorporate the idea of long-term survivors. Asymptotic results are obtained under a commonly assumed independent censor

Semi-nonparametric competing risks analy
✍ Herman J. Bierens; Jose R. Carvalho πŸ“‚ Article πŸ“… 2007 πŸ› John Wiley and Sons 🌐 English βš– 184 KB

## Abstract In this paper we specify a semi‐nonparametric competing risks (SNP‐CR) model of recidivism, for misdemeanors and felonies. The model is a bivariate mixed proportional hazard model with Weibull baseline hazards and common unobserved heterogeneity. The distribution of the latter is modele

A method for comparing semi-parametric m
✍ Jim Wan πŸ“‚ Article πŸ“… 1989 πŸ› Elsevier Science 🌐 English βš– 555 KB

In survival analysis, Cox's regression model is often used to assess the effect of covariates on the time of failure. This semi-parametric model has been extended to the situation where more than one cause of failure is of interest. In this paper, two semi-parametric models for the analysis of compe