Parametric regression analysis with covariate misclassification in main study/validation study designs
From MaRDI portal
Publication:6637187
DOI10.1515/IJB-2017-0002MaRDI QIDQ6637187
Ying Yan, Xiaomei Liao, Donna Spiegelman, Grace Y. Yi
Publication date: 13 November 2024
Published in: The International Journal of Biostatistics (Search for Journal in Brave)
efficiencymeasurement errorestimating functionmisclassificationlikelihood methodexternal validation studyinternal validation study
Cites Work
- Title not available (Why is that?)
- Title not available (Why is that?)
- Title not available (Why is that?)
- Title not available (Why is that?)
- Title not available (Why is that?)
- Title not available (Why is that?)
- A simulation-based marginal method for longitudinal data with dropout and mismeasured covariates
- Statistical analysis with measurement error or misclassification. Strategy, method and application
- Equivalence of regression calibration methods in main study/external validation study designs
- Likelihood-based and marginal inference methods for recurrent event data with covariate measurement error
- Simultaneous Inference and Bias Analysis for Longitudinal Data with Covariate Measurement Error and Missing Responses
- Corrected score function for errors-in-variables models: Methodology and application to generalized linear models
- A functional generalized method of moments approach for longitudinal studies with missing responses and covariate measurement error
- Cost-Efficient Study Designs for Binary Response Data with Gaussian Covariate Measurement Error
- Inference for the Proportional Hazards Model with Misclassified Discrete-Valued Covariates
- A NOTE ON THE CORRECTED SCORE FUNCTION ADJUSTING FOR MISCLASSIFICATION
- Simulation-Extrapolation Estimation in Parametric Measurement Error Models
- A note on covariate measurement error in nonlinear mixed effects models
- Consistent Functional Methods for Logistic Regression With Errors in Covariates
- Expected Estimating Equations to Accommodate Covariate Measurement Error
- Nonparametric Function Estimation for Clustered Data When the Predictor is Measured without/with Error
- Functional and Structural Methods With Mixed Measurement Error and Misclassification in Covariates
- Logistic Regression with Exposure Biomarkers and Flexible Measurement Error
- Expected Estimating Equations for Missing Data, Measurement Error, and Misclassification, with Application to Longitudinal Nonignorable Missing Data
- Measurement Error in Nonlinear Models
- On the Effect of Misclassification on Bias of Perfectly Measured Covariates in Regression
- A Pseudo–Partial Likelihood Method for Semiparametric Survival Regression With Covariate Errors
Related Items (1)
This page was built for publication: Parametric regression analysis with covariate misclassification in main study/validation study designs
Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6637187)