Skip to main content

Table 4 Collinearity diagnosis of various model variables

From: Development and validation of non-invasive prediction models for migraine in Chinese adults

Variable

VIF*

Model1

Model 2

Model 3

Model4

Model5

Model6

Model7

Model8

PSQI score

1

1.09

1.09

1.1

1.2

1.2

1.22

1.39

SAS score

——

——

——

——

——

——

——

2.53

SDS score

——

——

——

——

——

——

1.9

2.48

Qi-deficient score

——

——

——

——

1.85

1.86

2

2.02

Phlegm-dampness score

——

——

——

1.46

1.34

1.55

1.55

1.56

Blood-stasis score

——

——

——

1.67

——

1.73

1.73

1.73

Qi-depressed score

——

1.09

1.17

1.48

1.56

1.7

2.01

2.07

Inherited special score

——

——

1.08

——

1.21

1.23

1.25

1.25

  1. *VIF was used to evaluate the multicollinearity of model variables. When VIF > 5, it indicates that there was Multicollinearity, and when VIF < 5, there was no Multicollinearity. VIF Variance inflation factor, PSQI Pittsburgh sleep quality index, SAS Self-rating anxiety scale, SDS Self-rating depression scale