Table 3.

Model-wised performances comparison at pan-cancer level (12 TCGA (The Cancer Genome Atlas) cancer types) by pairwise paired t-test (A) and linear mixed-effects models test (B), according to metrics concordance index and p-value of log-rank test. Note that for concordance index, larger t-statistic/coefficient indicated better performance at pan-cancer level, while the p-value of log-rank test was on the contrary

(A) Pairwise Paired T-test
			Distribution 2
			DeepSurv		AECOX
			t	P	t	P
Distribution 1	Cox-nnet	concordance index	3.1843	2.32E-03	3.2281	2.04E-03
		p-value of log-rank test	−1.4006	1.67E-01	−0.8962	3.74E-01
	DeepSurv	concordance index	–	–	−0.6732	5.03E-01
		p-value of log-rank test	–	–	0.5164	6.07E-01
Notes: t denotes the pairwise paired Student’s t-test statistic, P denotes the p-value obtained.
(B) Linear Mixed-Effects Models Test
			Distribution 2
			DeepSurv		AECOX
			β	P	β	P
Distribution 1	Cox-nnet	concordance index	0.0195	1.97E-02	0.0142	1.12E-01
		p-value of log-rank test	−0.0489	2.52E-01	−0.0294	4.85E-01
	DeepSurv	concordance index	–	–	−0.0052	5.85E-01
		p-value of log-rank test	–	–	0.0195	6.62E-01

Notes: β denotes the coefficient (slope) of linear mixed-effects models, P denotes the p-value obtained.