Research Article
Correcting Classifiers for Sample Selection Bias in Two-Phase Case-Control Studies
Table 1
Properties and performance of correction approaches for logistic regression and random forest. The properties are as follows: (i) a correction attempt is made at all; (ii) the covariance structure of the learning data is attempted to be unbiased; (iii) learning is based on a data set containing a larger number of observations than the original stratified data set (see (3)). Criteria are fulfilled (“✓”), not clearly fulfilled (“(✓)”), or not fulfilled (“”).
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