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Table 1 Results of Generalized Linear Models to Determine Structural Equations

From: Using simultaneous equation modeling for defining complex phenotypes

  

Number of Replicates where the regression coefficient was:

Dependent Variable

Independent Variable

Significant

Not Significant

Normally Distributed?

Mean

Cholesterol

Age A

100

0

Yes

0.728

 

Cigarettes per day

2

98

Yes

-0.012

 

Alcohol consumption

13

87

Yes

0.004

 

Glucose

7

93

Yes

0.014

 

HDL

10

90

Yes

-0.025

 

Height

13

87

Yes

0.008

 

Systolic blood pressure

41

59

Yes

0.124

 

Sex

43

57

Yes

3.916

 

Triglycerides

18

82

Yes

0.020

 

Weight

11

89

Yes

0.007

Glucose

Age

14

86

Yes

-0.005

 

Cigarettes per day

7

93

Yes

0.001

 

Cholesterol

15

85

Yes

-0.016

 

Alcohol consumption

100

0

Yes

-0.081

 

HDL

95

5

Yes

0.096

 

Height

5

95

Yes

-0.007

 

Systolic blood pressure

22

78

Yes

0.020

 

Sex

90

10

Yes

2.075

 

Triglycerides

100

0

No

0.081

 

Weight

90

10

Yes

-0.002

HDL-C

Age

100

0

Yes

0.019

 

Cigarettes per day

10

90

Yes

-0.003

 

Cholesterol

100

0

Yes

0.160

 

Alcohol consumption

100

0

No

0.249

 

Glucose

95

5

Yes

0.111

 

Height

9

91

Yes

0.011

 

Systolic blood pressure

10

90

Yes

-0.003

 

Sex

100

0

Yes

6.058

 

Triglycerides

100

0

Yes

-0.194

 

Weight

100

0

Yes

0.047

Tryglycerides

Age

100

0

Yes

1.026

 

Cigarettes per day

18

82

Yes

0.012

 

Cholesterol

97

3

Yes

0.161

 

Alcohol consumption

100

0

Yes

0.997

 

Glucose

100

0

Yes

0.573

 

HDL

100

0

Yes

-1.163

 

Height

8

92

Yes

0.018

 

Systolic blood pressure

17

83

Yes

-0.002

 

Sex

100

0

No

-17.819

 

Weight

100

0

Yes

0.268

  1. A Bolded variables were included in the structural equation.