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Table 2 AUROC results when predicting the simulated outcome within 3 years, when loss to follow-up is at random

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) with loss 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 6532 434 586 0.690 (0.703) 0.690 (0.705) 0.693 (0.714) 0.690 (0.702)
 ~ 20 12,914 836 1201 0.690 (0.703) 0.690 (0.715) 0.692 (0.716) 0.689 (0.701)
 ~ 30 19,536 1218 1813 0.691 (0.714) 0.691 (0.713) 0.691 (0.718) 0.684 (0.700)
 ~ 40 26,002 1668 2440 0.692 (0.712) 0.686 (0.715) 0.691 (0.716) 0.688 (0.699)
 ~ 50 32,460 2140 3054 0.688 (0.699) 0.697 (0.714) 0.691 (0.717) 0.688 (0.698)
 ~ 70 45,401 2924 4216 0.687 (0.699) 0.678 (0.712) 0.688 (0.718) 0.686 (0.695)
 ~ 90 58,356 3766 5339 0.685 (0.699) 0.664 (0.715) 0.679 (0.721) 0.684 (0.695)
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