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Table 8 Selected logistic regression models (LRM).

From: Neural networks for modeling gene-gene interactions in association studies

   LRM with design variables
   Statistical model (# parameters)
Two-locus disease model Risk scenario NM (1) SiA (3) SiB (3) ME (5) FM (9)
ADD low    1 39 60 100
  high     7 93 100
HET low     55 45 100
  high     10 90 100
MULT low     90 10 100
  high     88 12 100
EPI RR low    6   94 100
  high      100 100
EPI DD low     3 97 100
  high      100 100
EPI RD low   61   19 20 100
  high   57   14 29 100
   LRM without design variables
   Statistical model (# parameters)
   NM (1) SiA (2) SiB (2) ME (3) FM (4)
ADD low    1 27 72 100
  high     4 96 100
HET low     30 70 100
  high     6 94 100
MULT low     72 28 100
  high     54 46 100
EPI RD low 7 6 9 3 75 100
  high      100 100
EPI DD low     2 98 100
  high      100 100
EPI RD low   60   19 21 100
  high   38   23 39 100
  1. In the upper part of the table, the two-locus disease model (ADD, HET) agrees with the statistical model when a statistical model of independence (NM, SiA, SiB, ME) is selected. In the lower part of the table, the two-locus disease model representing biological interaction (MULT, EPI RR, EPI DD, EPI RD) agrees with the statistical model when the full model (FM) is selected. Bold numbers mark the mode of the selected models in the low and high risk scenario.