Multivariable analysis predicting PCa
TG, prostate cancer
REGRESSION, PROSTATE CANCER
In multivariable logistic regression analysis, tPSA (P < 0.001), f/tPSA (P = 0.018), PSAD (P = 0.030), TG (P = 0.006), LDL (P < 0.001), DRE (P = 0.002) and TRUS (P = 0.009) were significantly related to the presence of PCa in biopsy (Table 
Multivariate logistic regression models in the training group
Diagnostic accuracy of our model and other models using validation group
Receiver operating characteristic curve (ROC) of Model 1 and Model 2 for predicting prostate cancer risk. The 