Table 6.

Summary of Discrimination Statistics for All Models in the Validation Cohort

Population	Model	Harrell’s Ca		Somers’ D	Time-Dependent AUCs (Including Ties)
		CI	CE		1 mo	3 mo	6 mo
General cancer cohort
	GCMM	0.67	0.67	0.34	0.75	0.71	0.69
	LENT-D	0.60	0.71	0.21	0.66	0.64	0.64
P value	GCMM vs LENT-D	< .001	...	...	< .001	< .001	.01
	LENT-C	0.65	0.65	0.29	0.72	0.68	0.69
P value	GCMM vs LENT-C	.158	...	...	.209	.135	.776
Lung cancer cohort
	DSM-lung	0.70	0.70	0.38	0.75	0.75	0.74
	LENT-D	0.64	0.78	0.33	0.72	0.72	0.72
P value	DSM-lung vs LENT-D	.243	...	...	.345	.392	.528
	LENT-C	0.72	0.72	0.43	0.79	0.77	0.78
P value	DSM-lung vs LENT-C	.241	...	...	.402	.428	.160
Breast cancer cohort
	DSM-breast	0.72	0.72	0.41	0.83	0.74	0.72
	LENT-D	0.59	0.77	0.19	0.66	0.61	0.72
P value	DSM-breast vs LENT-D	< .001	...	...	< .001	< .001	.005
	LENT-C	0.67	0.67	0.34	0.79	0.69	0.70
P value	DSM-breast vs LENT-C	.156	...	...	.469	.127	.580
Hematologic malignancies cohort
	DSM-hematologic	0.62	0.62	0.21	0.68	0.64	0.61
	LENT-D	0.58	0.74	0.17	0.61	0.62	0.60
P value	DSM-hematologic vs LENT-D	.231	...	...	.104	.565	.727
	LENT-C	0.59	0.59	0.20	0.64	0.62	0.60
P value	DSM-hematologic vs LENT-C	.442	...	...	.221	.580	.655

AUC = area under the receiver operating characteristic curve; C_E = Harrell’s C-statistic excluding ties; C_I = Harrell’s C-statistic including ties; DSM = disease-specific model; GCMM = general cancer multivariate model; LENT-C = continuous LENT model; LENT-D = discrete LENT model.

^aFor continuous risk predictor models with a continuous outcome, no difference exists between C_I and C_E. When comparing models that make predictions on the same population, the C_I statistics should be used.