Robust sandwich covariance estimation for regression calibration estimator in Cox regression with measurement error.

DOI10.1016/S0167-7152(99)00079-6zbMath1070.62519WikidataQ127615415 ScholiaQ127615415MaRDI QIDQ1808693

Yanyan Li

Publication date: 9 February 2000

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

zbMATH Keywords

Proportional hazardsError in variableSurvival study

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Estimation in survival analysis and censored data (62N02)

Related Items (5)

Hazard Ratio Estimation for Biomarker-Calibrated Dietary Exposures ⋮ Analysis of noisy survival data with graphical proportional hazards measurement error models ⋮ A study of regression calibration in a partially observed stratified Cox model ⋮ Regression Analysis When Covariates Are Regression Parameters of a Random Effects Model for Observed Longitudinal Measurements ⋮ Semiparametric methods for left-truncated and right-censored survival data with covariate measurement error

Cites Work

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• Cox's regression model for counting processes: A large sample study
• The Robust Inference for the Cox Proportional Hazards Model
• Covariate measurement errors and parameter estimation in a failure time regression model
• Misspecified proportional hazard models
• Regression Calibration in Failure Time Regression
• 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
• Robust Statistics

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