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Table 3 AUROC results when predicting the simulated outcome within 3 years, when loss to follow-up is based on Charlson comorbidity index

From: An empirical analysis of dealing with patients who are lost to follow-up when developing prognostic models using a cohort design

Percentage censored (thres) (%) Number in training Target Pop (64,770) censored Training Outcome count (10,104) lost to follow-up Logistic keep lost to follow-up Logistic remove lost to follow-up Logistic remove lost to follow-up non-outcomes Cox keep lost to follow-up
Before loss to follow-up date After loss to follow-up date Test AUROC (train AUROC)
 ~ 10 6488 527 901 0.685 (0.697) 0.684 (0.702) 0.675 (0.735) 0.685 (0.693)
 ~ 20 12,946 1024 1606 0.680 (0.695) 0.683 (0.711) 0.654 (0.754) 0.684 (0.687)
 ~ 30 19,371 1422 2294 0.678 (0.692) 0.681 (0.710) 0.636 (0.778) 0.682 (0.680)
 ~ 40 25,834 1925 2847 0.677 (0.692) 0.679 (0.707) 0.621 (0.800) 0.682 (0.675)
 ~ 50 32,313 2289 3450 0.677 (0.692) 0.676 (0.706) 0.607 (0.837) 0.681 (0.671)
 ~ 70 45,271 2973 4387 0.681 (0.708) 0.671 (0.693) 0.592 (0.865) 0.678 (0.674)
 ~ 90 58,274 3726 5394 0.684 (0.714) 0.654 (0.723) 0.590 (0.916) 0.676 (0.689)
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