Modeling competing risks with a semi-parametric mixture model
type: Item
instance of: scholarly article
title: Modeling competing risks with a semi-parametric mixture model
zbMATH Open document ID: 1113.62120
author: Jean-François Dupuy
author: Gabriel Escarela
published in: Comptes Rendus. Mathématique. Académie des Sciences, Paris
publication date: 2007-06-26T00:00:00Z
Mathematics Subject Classification ID: 62N02
Mathematics Subject Classification ID: 62G05
Mathematics Subject Classification ID: 62F12
Mathematics Subject Classification ID: 62N01
zbMATH DE Number: 5167592
MaRDI profile type: Publication
full work available at URL: j.crma.2007.03.031
OpenAlex ID: W2001570281
cites work: Statistical models based on counting processes
cites work: Large sample properties of mixture models with covariates for competing risks
cites work: Asymptotic theory for the Cox model with missing time-dependent covariate
cites work: Fitting a Semi-Parametric Mixture Model for Competing Risks in Survival Data
cites work: Weak convergence and empirical processes. With applications to statistics
cites work: Asymptotic results for maximum likelihood estimators in joint analysis of repeated measurements and survival time
DOI: 10.1016/J.CRMA.2007.03.031
description: scientific article; zbMATH DE number 5167592