Table 3. Univariate and multivariate analyses for RFS.

	Univariate: Cox regression			Multivariate: Cox regression using Firth’s bias reduction
Test set no. 1 ( N =86; time to RFS available)	N	HR (95% CI)	P -value	N	HR (95% CI)	P -value
GGI
High vs low	86	9.93 (3.13–32.3)	2.12E−05	86	3.23 (1.12–10.83)	2.91E−02
AFIP
Intermediate vs low	86	3.84E08 (0–Inf)	3.38E−08	86	11.2 (0.87–1.6E03)	0.06
High vs low	86	2.17E09 (0–Inf)		86	44.1 (5.23–5.8E03)	3.01E−05
275-gene
Poor vs good	86	12.64 (1.66–96.17)	1.43E−02
	Univariate: logistic regression			Multivariate: logistic regression
Test set no. 2 ( N =60; time to RFS not available)	N	Coefficient	P -value	N	Coefficient	P -value
GGI
High vs low	60	0.84	1.19E−13	60	0.60	3.16E−08
AFIP
Intermediate vs low	60	0.29	9.17E−03	60	0.11	0.19
High vs low	60	0.78	8.13E−11	60	0.41	5.83E−05
275-gene
Poor vs good	60	0.63	1.22E−09	60	0.27	7.14E−04
	Univariate: logistic regression			Multivariate: logistic regression
Pooled test sets ( N =146; all samples)	N	Coefficient	P -value	N	Coefficient	P -value
GGI
High vs low	146	0.63	<2.00E−16	146	0.35	1.25E−07
AFIP
Intermediate vs low	146	0.20	<2.00E−16	146	0.12	0.05
High vs low	146	0.67	8.13E−11	146	0.42	1.75E−10
275-gene
Poor vs good	146	0.41	3.62E−10	146	0.15	2.88E−03

Abbreviations: CI=confidence interval; GGI=Genomic Grade Index; HR=hazard ratio; RFS=relapse-free survival.