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Table 3 The IPRC models for predicting PCa on the left and high-grade PCa on the right. The coefficients, standard deviation and p-value represented for each variable in the logistic regression models

From: A risk calculator to inform the need for a prostate biopsy: a rapid access clinic cohort

  IPRC – PCa model IPRC – high-grade PCa model
Coefficients Std. Error p-value Coefficients Std. Error p-value
Intercept −2.100 0.202 < 0.001 −2.510 0.274 < 0.001
Age 0.009 0.003 0.005 0.016 0.004 < 0.001
Family history (Positive) 0.396 0.093 < 0.001
Family history (Missing) 0.344 0.056 < 0.001
logPSA 0.425 0.034 < 0.001 0.604 0.050 < 0.001
DRE (Abnormal) 0.639 0.046 < 0.001 0.560 0.060 < 0.001
DRE (Missing) −0.230 0.063 < 0.001 0.228 0.0863 0.008
Previous negative biopsy (Yes) −0.259 0.060 < 0.001 −0.679 0.091 < 0.001