Table 3

Additive model (ADD).

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

0.2313

0.2059


Logistic regression

Mean absolute difference E

Sum

0.2530

0.2544


Logistic regression (design variables)

Mean absolute difference E

Sum

0.2897

0.2804


Mean absolute differences between theoretical and estimated penetrance matrices from 100 replications in the low and high risk scenario.

Günther et al. BMC Genetics 2009 10:87   doi:10.1186/1471-2156-10-87

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