Table 8.
Best fit logistical regression model for method 2: risk and 95% CI for PC with lab biomarkers, per laboratory unit
| Parameter | ML Est. | SE | OR | 95% CI | C Stat | −2 LL |
|---|---|---|---|---|---|---|
| Intercept |
−5.1041 |
xx |
xx |
xx |
0.713 |
1276.366 |
| HGB* |
−0.3784 |
0.05 |
0.69 |
(0.62, 0.76) |
|
|
| RBC* |
−0.7641 |
0.21 |
0.46 |
(0.30, 0.70) |
|
|
| Creatinine* |
−0.6069 |
0.23 |
0.55 |
(0.35, 0.85) |
|
|
| PSA * |
0.0325 |
0.01 |
1.03 |
(1.02, 1.05) |
|
|
| Age* |
0.0183 |
0.01 |
1.02 |
(1.01, 1.04) |
|
|
| MCV* |
0.0488 |
0.02 |
1.05 |
(1.02, 1.08) |
|
|
| Black | 0.3612 | 0.24 | 1.44 | (0.90, 2.31) |
*P <0.001.