Asymptotic equivalence between the Cox estimator and the general ML estimators of regression and survival parameters in the Cox model

DOI10.1214/AOS/1176346518zbMath0544.62028OpenAlexW2028148108MaRDI QIDQ796917

Kent R. Bailey

Publication date: 1984

Published in: The Annals of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1214/aos/1176346518

zbMATH Keywords

standard errorsjoint estimationCox regression modelabsence of tiesgeneralized likelihoodjoint information matrixpartial likelihood estimatorsurvival curve parameters

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Asymptotic distribution theory in statistics (62E20)

Related Items (10)

Estimation in a Cox Proportional Hazards Cure Model ⋮ COX REGRESSION; TIES WITHOUT TEARS ⋮ Full likelihood inferences in the Cox model: an empirical likelihood approach ⋮ Asymptotic linear expansion of profile likelihood in the Cox mode ⋮ A note on the generalized maximum likelihood estimator in partial Koziol-Green model ⋮ On the generalized maximum likelihood estimator of survival function under Koziol-Green model ⋮ Standard errors for the Cox proportional hazard cure model ⋮ Likelihood ratio procedures and tests of fit in parametric and semiparametric copula models with censored data ⋮ Fitting a Semi-Parametric Mixture Model for Competing Risks in Survival Data ⋮ Full likelihood inference in the Cox model with LTRC data when covariates are discrete

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