Table 8

Selected logistic regression models (LRM).

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


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.

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

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