Table 2.

Model accuracy evaluation based on bootstrap resampling method

Model	Dataset	Number	C-index	C-index	C-index	Brier-score	Brier-score	Brier-score
			12-month	36-month	60-month	12-month	36-month	60-month
Cox	Dataset1	14,946	0.822	0.822	0.822	0.077	0.124	0.133
	Dataset2	14,946	0.818	0.818	0.818	0.078	0.124	0.137
	Dataset3	14,946	0.819	0.819	0.819	0.075	0.123	0.135
	Dataset4	14,946	0.819	0.819	0.819	0.076	0.125	0.138
	Dataset5	14,946	0.823	0.823	0.823	0.075	0.122	0.130
AFT	Dataset1	14,946	0.824	0.824	0.824	0.077	0.123	0.131
	Dataset2	14,946	0.819	0.819	0.819	0.078	0.124	0.136
	Dataset3	14,946	0.821	0.821	0.821	0.076	0.123	0.133
	Dataset4	14,946	0.821	0.821	0.821	0.077	0.125	0.136
	Dataset5	14,946	0.825	0.825	0.825	0.075	0.122	0.128
MTLR	Dataset1	14,946	0.827	0.830	0.830	0.077	0.133	0.131
	Dataset2	14,946	0.822	0.824	0.825	0.078	0.124	0.137
	Dataset3	14,946	0.824	0.828	0.829	0.076	0.122	0.134
	Dataset4	14,946	0.824	0.826	0.827	0.077	0.125	0.137
	Dataset5	14,946	0.828	0.830	0.830	0.075	0.121	0.130

MTLR multi-task logistic regression, AFT accelerated failure time