Table 5.
Low risk | High risk | |
---|---|---|
r = 5 | r = 10 | |
Theoretical penetrance matrix | ||
Neural network | ||
Mean absolute difference E | ||
Sum | 0.2071 | 0.1410 |
Logistic regression | ||
Mean absolute difference E | ||
Sum | 0.4849 | 0.6150 |
Logistic regression (design variables) | ||
Mean absolute difference E | ||
Sum | 0.3503 | 0.2755 |
Mean absolute differences between theoretical and estimated penetrance matrices from 100 replications in the low and high risk scenario.