Adjusting regression attenuation in the Cox proportional hazards model

DOI10.1016/S0378-3758(98)00178-5zbMath0937.62099OpenAlexW2052510676MaRDI QIDQ1298927

Fan Hui Kong

Publication date: 13 June 2000

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0378-3758(98)00178-5

zbMATH Keywords

partial likelihooderrors-in-variablesCox proportional hazards modelmeasurement error modelmaximum partial likelihood

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Applications of statistics to biology and medical sciences; meta analysis (62P10) Linear inference, regression (62J99) Estimation in survival analysis and censored data (62N02)

Related Items (4)

Bayesian analysis under accelerated failure time models with error-prone time-to-event outcomes ⋮ An Exact Corrected Log-Likelihood Function for Cox's Proportional Hazards Model under Measurement Error and Some Extensions ⋮ Inference in the additive risk model with time-varying covariates subject to measurement errors ⋮ Estimation of the hazard function in a semiparametric model with covariate measurement error

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• A Joint Model for Survival and Longitudinal Data Measured with Error
• Case-Control Studies with Errors in Covariates
• Regression Dilution in the Proportional Hazards Model
• Modeling the Relationship of Survival to Longitudinal Data Measured with Error. Applications to Survival and CD4 Counts in Patients with AIDS
• Auxiliary covariate data in failure time regression

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