Model-assisted calibration integrates multiple probability surveys to boost regression efficiency while preserving design-based finite-population inference.
Journal of the American Statistical Association , volume=
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Tutorial reviewing and comparing methods to correct measurement error in outcomes and multiple covariates, with a running example, data, and code for reproduction.
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Improving Efficiency of Regression Analyses by Integrating Data from Population-Representative Surveys: A Model-Assisted Calibration Approach
Model-assisted calibration integrates multiple probability surveys to boost regression efficiency while preserving design-based finite-population inference.
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Methods to address measurement error in both Outcome and Covariates
Tutorial reviewing and comparing methods to correct measurement error in outcomes and multiple covariates, with a running example, data, and code for reproduction.