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Table 3 Best-fit equations for model predictions.

From: How does age affect baseline screening mammography performance measures? A decision model

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

  1. * Values from Table 1.
  2. † PPV = Positive predictive value.
  3. ‡ NPV = Negative predictive value.