Correct Bias in Estimated Regression Coefficients

This function corrects the bias in estimated regression coefficients due to classical additive measurement error (i.e., within-person variation) in logistic regressions under the main study/external reliability study design and the main study/internal reliability study design. The output includes the naive and corrected estimators for the regression coefficients; for the variance estimates of the corrected estimators, the extra variation due to estimating the parameters in the measurement error model is ignored or taken into account. Reference: Carroll RJ, Ruppert D, Stefanski L, Crainiceanu CM (2006) .


Reference manual

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0.1.0 by Yu Lu, a month ago

Browse source code at

Authors: Yu Lu [aut, cre, cph] , Molin Wang [aut]

Documentation:   PDF Manual  

GPL-3 license

Imports sandwich, mgcv

Suggests knitr, rmarkdown, testthat

See at CRAN