A weighting method for simultaneous adjustment for confounding and joint exposure-outcome misclassifications

Bas BL Penning De Vries, Maarten Van Smeden & Rolf HH Groenwold
Joint misclassification of exposure and outcome variables can lead to considerable bias in epidemiological studies of causal exposure-outcome effects. In this paper, we present a new maximum likelihood based estimator for marginal causal effects that simultaneously adjusts for confounding and several forms of joint misclassification of the exposure and outcome variables. The proposed method relies on validation data for the construction of weights that account for both sources of bias. The weighting estimator, which is...
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