In a logistic regression model when covariates are subject to measurement error the naive estimator, obtained by regressing on the observed covariates, is asymptotically biased.

WHITE, HALBERT, "Using Nonlinear Least Squares to Approximate Unknown Regression Functions," University of Rochester Department of Economics Discussion Paper 77-3 (revised, August, 1979).