Expected estimating equations to accommodate covariate measurement error

By C.Y. Wang, Margaret Sullivan Pepe. 2000

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How researchers see this paper

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Partially Supervised Learning Using an EM‐Boosting Algorithm (2004, background): “This is similar, for example, to Wang and Pepe (2000) who take similar expectations of estimating equations to deal with the mismeasured covariate data problem.”
Statistical inference for semiparametric varying-coefficient partially linear models with error-prone linear covariates (2009, methodology): “Wang and Pepe (2000) used a pseudo-expected estimating equation method to estimate the parameter in order to correct the estimation bias.”