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.
Hill et al. BMC Urology 2013 13:6 doi:10.1186/1471-2490-13-6
