Logistic Regression with Exposure Biomarkers and Flexible Measurement Error

DOI10.1111/J.1541-0420.2006.00632.XzbMath1124.62081OpenAlexW2032494244WikidataQ45243529 ScholiaQ45243529MaRDI QIDQ5427411

Elizabeth Ann Sugar, Ross L. Prentice, C. Y. Wang

Publication date: 20 November 2007

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1541-0420.2006.00632.x

zbMATH Keywords

simulations

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Generalized linear models (logistic models) (62J12)

Related Items (10)

Hazard Ratio Estimation for Biomarker-Calibrated Dietary Exposures ⋮ Semiparametric regression calibration for general hazard models in survival analysis with covariate measurement error; surprising performance under linear hazard ⋮ Predictors with measurement error in mixtures of polynomial regressions ⋮ Observational studies, clinical trials, and the women's health initiative ⋮ Non‐parametric Maximum Likelihood Estimation for Cox Regression with Subject‐Specific Measurement Error ⋮ Robust best linear estimation for regression analysis using surrogate and instrumental variables ⋮ Bayesian hierarchical models for food frequency assessment ⋮ Favorability functions based on kernel density estimation for logistic models: a case study ⋮ Robust best linear estimator for Cox regression with instrumental variables in whole cohort and surrogates with additive measurement error in calibration sample ⋮ A functional method for the conditional logistic regression with errors-in-covariates

Cites Work

• Unnamed Item
• Longitudinal data analysis using generalized linear models
• Parameterization and Inference for Nonparametric Regression Problems
• Estimating Equations for Parameters in Means and Covariances of Multivariate Discrete and Continuous Responses
• 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
• Consistent Functional Methods for Logistic Regression With Errors in Covariates

This page was built for publication: Logistic Regression with Exposure Biomarkers and Flexible Measurement Error