Variable selection and estimation for the additive hazards model subject to left-truncation, right-censoring and measurement error in covariates

DOI10.1080/00949655.2020.1800705OpenAlexW3047811873MaRDI QIDQ5037116

Li-Pang Chen

Publication date: 25 February 2022

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1909.10655

zbMATH Keywords

variable selectionprevalent cohortpseudo likelihoodSIMEXmismeasurementbiased sample

Mathematics Subject Classification ID

Censored data models (62N01) Statistics (62-XX) Estimation in survival analysis and censored data (62N02)

Related Items (1)

De-noising boosting methods for variable selection and estimation subject to error-prone variables

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