Table 4.
Low risk | High risk | |
---|---|---|
a1 = 2·a0; a2 = 4·a0 | a1 = 5·a0; a2 = 10·a0 | |
b1 = 5·b0; b2 = 10·b0 | b1 = 5·b0; b2 = 10·b0 | |
Theoretical penetrance matrix | ||
Neural network | ||
Mean absolute difference E | ||
Sum | 0.2428 | 0.2178 |
Logistic regression | ||
Mean absolute difference E | ||
Sum | 0.3965 | 0.4887 |
Logistic regression (design variables) | ||
Mean absolute difference E | ||
Sum | 0.1637 | 0.1833 |
Mean absolute differences between theoretical and estimated penetrance matrices from 100 replications in the low and high risk scenario.