Pseudo likelihood estimation for the additive hazards model with data subject to left-truncation and right-censoring

DOI10.4310/SII.2019.V12.N1.A12MaRDI QIDQ1624317

Li-Pang Chen

Publication date: 16 November 2018

Published in: Statistics and Its Interface (Search for Journal in Brave)

zbMATH Keywords

kernel estimatorleft-truncationmisspecificationpseudo likelihoodprevalent sampling

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (5)

Variable selection and estimation for the additive hazards model subject to left-truncation, right-censoring and measurement error in covariates ⋮ Causal inference for left-truncated and right-censored data with covariate measurement error ⋮ Semiparametric estimation for the transformation model with length-biased data and covariate measurement error ⋮ Feature screening based on distance correlation for ultrahigh-dimensional censored data with covariate measurement error ⋮ Prediction accuracy measures for time-to-event models with left-truncated and right-censored data

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