Modeling competing risks with a semi-parametric mixture model

DOI10.1016/J.CRMA.2007.03.031zbMath1113.62120OpenAlexW2001570281MaRDI QIDQ886281

Jean-François Dupuy, Gabriel Escarela

Publication date: 26 June 2007

Published in: Comptes Rendus. Mathématique. Académie des Sciences, Paris (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.crma.2007.03.031

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Nonparametric estimation (62G05) Censored data models (62N01) Estimation in survival analysis and censored data (62N02)

Related Items (1)

Analysis of a semiparametric mixture model for competing risks

Cites Work

• Large sample properties of mixture models with covariates for competing risks
• Weak convergence and empirical processes. With applications to statistics
• Asymptotic results for maximum likelihood estimators in joint analysis of repeated measurements and survival time
• Asymptotic theory for the Cox model with missing time-dependent covariate
• Fitting a Semi-Parametric Mixture Model for Competing Risks in Survival Data
• Statistical models based on counting processes

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