Table 3.

Best-fit equations for model predictions.

Model Input*	Equation	R2
Incidence	y = 0.165*AGE - 5.37	0.996
Prevalence	y = 0.016*AGE2 - 0.90*AGE + 12.54	0.998
Model Output
Cancer detection rate 1 year	y = 0.013*AGE2 - 0.70*AGE + 8.26	0.996
Recall rate	y = 0.054*AGE + 12.08	0.957
PPV†, screening	y = 0.007*AGE2 - 0.31*AGE + 2.18	0.995
NPV‡, screening	y = -0.007*AGE + 100.2	0.814
PPV†, diagnostic	y = 0.011*AGE2 - 0.30*AGE - 2.51	0.994
Total intervention rate	y = 0.013*AGE2 - 0.67*AGE + 39.98	0.996
Positive biopsy fraction	y = 0.01*AGE2 + 0.29*AGE - 21.85	0.992

* Values from Table 1.

^† PPV = Positive predictive value.

^‡ NPV = Negative predictive value.