Semiparametric estimation for cure survival model with left-truncated and right-censored data and covariate measurement error

DOI10.1016/j.spl.2019.06.023zbMath1428.62452arXiv1812.11973OpenAlexW2962862959WikidataQ127558305 ScholiaQ127558305MaRDI QIDQ2273713

Li-Pang Chen

Publication date: 25 September 2019

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

Full work available at URL: https://arxiv.org/abs/1812.11973

zbMATH Keywords

survival analysistransformation modelmeasurement errorleft-truncationprevalent cohortcure

Mathematics Subject Classification ID

Censored data models (62N01) Reliability and life testing (62N05)

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 ⋮ A simulation-extrapolation approach for the mixture cure model with mismeasured covariates ⋮ Feature screening based on distance correlation for ultrahigh-dimensional censored data with covariate measurement error

Cites Work

• SIMEX estimation for single-index model with covariate measurement error
• A semiparametric mixture cure survival model for left-truncated and right-censored data
• On semiparametric transformation cure models
• Cure Rate Model With Mismeasured Covariates Under Transformation
• Asymptotic Statistics
• Simulation-Extrapolation Estimation in Parametric Measurement Error Models
• Inference in a survival cure model with mismeasured covariates using a simulation-extrapolation approach
• Measurement Error in Nonlinear Models
• Statistical models based on counting processes

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