Table 4:

Prostate cancer study analysis results based on logistic regression (n = 1014).

	Without calculators			With PBCG calculator			With PBCG-2 calculator			With both calculators
	est	s.e.	p	est	s.e.	p	est	s.e.	p	est	s.e.	p
Intercept	−7.421	0.769	< 0.001	−6.802	0.227	< 0.001	−7.276	0.315	< 0.001	−6.826	0.229	< 0.001
log2(PSA)	0.595	0.119	< 0.001	0.756	0.033	< 0.001	0.774	0.051	< 0.001	0.751	0.033	< 0.001
age	0.037	0.011	0.001	0.027	0.004	< 0.001	0.036	0.005	< 0.001	0.028	0.004	< 0.001
DRE	0.635	0.210	0.003	0.769	0.057	< 0.001	0.631	0.199	0.001	0.762	0.057	< 0.001
biopsy	−0.895	0.245	< 0.001	−0.938	0.058	< 0.001	−0.901	0.216	< 0.001	−0.943	0.058	< 0.001
race	0.090	0.341	0.793	0.192	0.103	0.062	−0.050	0.120	0.675	0.181	0.103	0.079
history	0.248	0.209	0.235	0.413	0.049	< 0.001	0.249	0.191	0.193	0.414	0.049	< 0.001
PCA3	0.347	0.062	< 0.001	0.347	0.057	< 0.001	0.347	0.056	< 0.001	0.345	0.057	< 0.001
T2ERG	0.565	0.183	0.002	0.567	0.166	0.001	0.568	0.165	0.001	0.582	0.166	< 0.001

est: estimated value. s.e.: standard error. p: p-value. DRE: a binary indicator of an abnormal digital rectal exam. biopsy: a binary indicator of prior negative biopsy. race: a binary indicator of African Ancestry. history: a binary indicator of first-degree family history of prostate cancer. PCA3: log₂(PCA3 + 1). T2ERG: dichotomized TMPRSS2:ERG split at the median