Quantile estimation of treatment effect for the two-sample problem with right censored data

DOI10.1016/0167-7152(94)00158-5zbMath0832.62030OpenAlexW2028830377MaRDI QIDQ1897074

Sang-Gue Park, Hyo-Il Park

Publication date: 5 March 1996

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0167-7152(94)00158-5

zbMATH Keywords

consistencyasymptotic normalityKaplan-Meier estimatorquantile functiontreatment effectlocation shift modeltruncated mean differencetwo- sample problem

Mathematics Subject Classification ID

Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05)

Related Items (5)

The estimation of treatment effect for the censored bivariate data under the univariate censoring ⋮ 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 ⋮ On Hadamard differentiability in \(k\)-sample semiparametric models -- with applications to the assessment of structural relationships ⋮ Estimation of the treatment effect for the survival time data

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• Rank regression methods for left-truncated and right-censored data
• Large-sample properties for a general estimator of the treatment effect in the two-sample problem with right censoring
• Linear Models, Random Censoring and Synthetic Data
• The Theil-Sen Estimator With Doubly Censored Data and Applications to Astronomy

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