Combining stabilized weights and generalized raking yields more efficient regression estimators for two-phase sampling designs that can be implemented in standard software packages.
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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Generalized raking and stabilized weights for regression modeling in two-phase samples
Combining stabilized weights and generalized raking yields more efficient regression estimators for two-phase sampling designs that can be implemented in standard software packages.
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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.