Efficient estimation of regression parameters from multistage studies with validation of outcome and covariates

DOI10.1016/S0378-3758(97)81749-1zbMath0946.62065OpenAlexW1966441480MaRDI QIDQ1378809

Christina A. Holcroft, Andrea G. Rotnitzky, James M. Robins

Publication date: 29 October 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(97)81749-1

zbMATH Keywords

missing at randommeasurement errorsauxiliary variables

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Asymptotic distribution theory in statistics (62E20) Linear regression; mixed models (62J05) Linear inference, regression (62J99) Robustness and adaptive procedures (parametric inference) (62F35)

Related Items (3)

ON EFFICIENCY GAINS FROM MULTIPLE INCOMPLETE SUBSAMPLES ⋮ Extended Matrix and Inverse Matrix Methods Utilizing Internal Validation Data When Both Disease and Exposure Status Are Misclassified ⋮ Semiparametric efficient estimation for the auxiliary outcome problem with the conditional mean model

Cites Work

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• Information and asymptotic efficiency in parametric-nonparametric models
• Auxiliary outcome data and the mean score method
• Asymptotic efficiency in estimation with conditional moment restrictions
• Designing a logistic regression study using surrogate measures for exposure and outcome
• Logistic regression for two-stage case-control data
• Semiparametric regression estimation in the presence of dependent censoring
• Inference using surrogate outcome data and a validation sample
• An Efficient Method of Moments Estimator for Discrete Choice Models With Choice-Based Sampling
• Inference and missing data
• The Estimation of Choice Probabilities from Choice Based Samples
• Estimation of Regression Coefficients When Some Regressors Are Not Always Observed
• Design of Validation Studies for Estimating the Odds Ratio of Exposure–Disease Relationships When Exposure Is Misclassified
• A mean score method for missing and auxiliary covariate data in regression models
• A Generalization of Sampling Without Replacement From a Finite Universe

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