Large-sample properties for a general estimator of the treatment effect in the two-sample problem with right censoring
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Publication:1184206
DOI10.1214/aos/1176348371zbMath0747.62046OpenAlexW2009180309MaRDI QIDQ1184206
Yiannis Bassiakos, Shaw-Hwa Lo, Xiao-Li Meng
Publication date: 28 June 1992
Published in: The Annals of Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1214/aos/1176348371
asymptotic normalitysurvival analysisright censoringstrong consistencytwo-sample problemlarge-sample propertieslocation shift modelestimation of treatment effectsgeneralized Hodges-Lehmann type estimatoroscillation behavior of the Kaplan-Meier processscale change model
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A class of hodges -lehmann type estimators for censored data ⋮ Quantile estimation of treatment effect for the two-sample problem with right censored data ⋮ Checking adequacy of the semiparametric location shift model with censored data ⋮ A simple quantile approach to the two-sample location-scale problem with random censorship ⋮ Estimation by method of moment under two-sample location–scale model with random censorship ⋮ Semiparametric Estimation for Two-Sample Location-Scale Models under Type I Censorship ⋮ Estimation of the treatment effect for the survival time data ⋮ A semiparametric copula-based estimation of the regression function for right-censored data
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