Table 7.
Low risk | High risk | |
---|---|---|
r1 = 2; r2 = 4 | r1 = 5; r2 = 10 | |
Theoretical penetrance matrix | ||
Neural network | ||
Mean absolute difference E | ||
Sum | 0.2239 | 0.1563 |
Logistic regression | ||
Mean absolute difference E | ||
Sum | 0.5105 | 0.8658 |
Logistic regression (design variables) | ||
Mean absolute difference E | ||
Sum | 0.2799 | 0.2329 |
Mean absolute differences between theoretical and estimated penetrance matrices from 100 replications in the low and high risk scenario.