Hazard Ratio Estimation for Biomarker-Calibrated Dietary Exposures

DOI10.1111/j.1541-0420.2011.01690.xzbMath1251.62048OpenAlexW2019325996WikidataQ36828541 ScholiaQ36828541MaRDI QIDQ2912331

Pamela A. Shaw, Ross L. Prentice

Publication date: 14 September 2012

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc3648661

zbMATH Keywords

measurement errorCox regressionregression calibrationconditional scoresnonparametric corrected scorenutrition assessment

Mathematics Subject Classification ID

Density estimation (62G07) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05)

Related Items

Variable selection for proportional hazards models with high‐dimensional covariates subject to measurement error ⋮ Accounting for dependent errors in predictors and time-to-event outcomes using electronic health records, validation samples and multiple imputation ⋮ Semiparametric time to event models in the presence of error-prone, self-reported outcomes -- with application to the women's health initiative

Cites Work

• Unnamed Item
• Unnamed Item
• Unbiased scores in proportional hazards regression with covariate measurement error
• Robust sandwich covariance estimation for regression calibration estimator in Cox regression with measurement error.
• Parameterization and Inference for Nonparametric Regression Problems
• A Risk Set Calibration Method for Failure Time Regression by Using a Covariate Reliability Sample
• A semiparametric estimator for the proportional hazards model with longitudinal covariates measured with error
• Survival Analysis with Error-Prone Time-Varying Covariates: A Risk Set Calibration Approach
• Covariate measurement errors and parameter estimation in a failure time regression model
• A new class of measurement-error models, with applications to dietary data
• Regression Calibration in Failure Time Regression
• Cox Regression with Covariate Measurement Error
• Cox Regression with Accurate Covariates Unascertainable: A Nonparametric-Correction Approach
• Estimating the Parameters in the Cox Model When Covariate Variables are Measured with Error
• Logistic Regression with Exposure Biomarkers and Flexible Measurement Error
• Semiparametric Failure Time Regression With Replicates of Mismeasured Covariates
• Measurement Error in Nonlinear Models
• Nonparametric correction for covariate measurement error in a stratified Cox model
• On Corrected Score Approach for Proportional Hazards Model with Covariate Measurement Error

This page was built for publication: Hazard Ratio Estimation for Biomarker-Calibrated Dietary Exposures