A semiparametric mixture cure survival model for left-truncated and right-censored data

DOI10.1002/bimj.201500267zbMath1365.62412OpenAlexW2551679874WikidataQ31144274 ScholiaQ31144274MaRDI QIDQ2980223

Lichi Lin, Chyong-Mei Chen, Pao-sheng Shen, James Cheng-Chung Wei

Publication date: 28 April 2017

Published in: Biometrical Journal (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/bimj.201500267

zbMATH Keywords

transformationright-censored dataestimating equationleft truncationconditional likelihoodcure

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Point estimation (62F10) Censored data models (62N01)

Related Items (6)

Evaluating Medical Underwriters in Life Settlements: Problem of Unreported Deaths ⋮ A flexible parametric approach for analyzing arbitrarily censored data that are potentially subject to left truncation under the proportional hazards model ⋮ U-Statistics for left truncated and right censored data ⋮ Semiparametric estimation for cure survival model with left-truncated and right-censored data and covariate measurement error ⋮ A nonparametric maximum likelihood approach for survival data with observed cured subjects, left truncation and right-censoring ⋮ Prediction accuracy measures for time-to-event models with left-truncated and right-censored data

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