Correcting Classifiers for Sample Selection Bias in Two-Phase Case-Control Studies

Figure 5

Performance of correction approaches in logistic regression with additional two-way interaction terms, measured by AUC. We fit a linear model for the AUC as influenced by the correction method (dummy-coded, no correction as reference category). The graphic depicts 95% confidence intervals for the respective coefficients. The dashed line shows the intercept of the model (i.e., the mean AUC for no correction). The blue colored methods are newly proposed in this paper.