Table 6.
Low risk | High risk | |
---|---|---|
r1 = 2; r2 = 4 | r1 = 5; r2 = 10 | |
Theoretical penetrance matrix | ||
Neural network | ||
Mean absolute difference E | ||
Sum | 0.3095 | 0.2524 |
Logistic regression | ||
Mean absolute difference E | ||
Sum | 0.3132 | 0.6528 |
Logistic regression (design variables) | ||
Mean absolute difference E | ||
Sum | 0.3071 | 0.2648 |
Mean absolute differences between theoretical and estimated penetrance matrices from 100 replications in the low and high risk scenario.