Semiparametric regression analysis for left-truncated and interval-censored data without or with a cure fraction
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Publication:2337324
DOI10.1016/J.CSDA.2019.06.006zbMath1496.62193OpenAlexW2950837151MaRDI QIDQ2337324
Chyong-Mei Chen, Hsin-Jen Chen, Pao-sheng Shen, Wen-Harn Pan
Publication date: 19 November 2019
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.csda.2019.06.006
EM algorithmleft truncationmixture cure modelsinterval-censored datamaximum conditional likelihood estimation
Related Items (6)
Inference on semi-parametric transformation model with a pairwise likelihood based on left-truncated and interval-censored data ⋮ Maximum likelihood estimation for length-biased and interval-censored data with a nonsusceptible fraction ⋮ Robust restricted Liu estimator in censored semiparametric linear models ⋮ A flexible parametric approach for analyzing arbitrarily censored data that are potentially subject to left truncation under the proportional hazards model ⋮ Combined estimating equation approaches for the additive hazards model with left-truncated and interval-censored data ⋮ Robust ridge estimator in censored semiparametric linear models
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