Large sample properties of mixture models with covariates for competing risks

DOI10.1006/jmva.2001.2022zbMath1098.62559OpenAlexW2029627116MaRDI QIDQ700137

D. Kharzeev

Publication date: 30 September 2002

Published in: Journal of Multivariate Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1006/jmva.2001.2022

zbMATH Keywords

asymptotic distributionmaximum likelihood estimatorcovariatesmixture modelcompeting riskslikelihood-ratio testdeviancelong-term survivor

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Asymptotic distribution theory in statistics (62E20) Estimation in survival analysis and censored data (62N02) Testing in survival analysis and censored data (62N03)

Related Items (5)

Semiparametric estimation for proportional hazards mixture cure model allowing non-curable competing risk ⋮ Modeling competing risks with a semi-parametric mixture model ⋮ Alternative approaches for econometric modeling of panel data using mixture distributions ⋮ Analysis of a semiparametric mixture model for competing risks ⋮ Vertical modeling: analysis of competing risks data with a cure fraction

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• Semi-Markov models for partially censored data
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