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Table 3 Binomial regression model for signature inclusion of microarray feature BX281671 (ITGA2B) in different modeling approaches (sh: Fine-Gray regression; csh: cause-specific hazard model)

From: Dealing with prognostic signature instability: a strategy illustrated for cardiovascular events in patients with end-stage renal disease

Term

ITGA2B

 

All features

 

estimate

p-value

 

sig -

sig +

Intercept

−3.82

<0.001

 

-

-

sh vs. csh

−0.16

0.013

 

24

16

Outlier excluded

0.58

<0.001

 

29

19

Original endpoint

2.63

<0.001

 

30

23

Univariate model

−0.98

<0.001

 

31

23

sh × outlier excluded

−0.01

0.798

 

0

0

sh × original endpoint

−0.12

0.056

 

19

17

sh × univariate

−1.27

<0.001

 

31

25

Outlier excluded × original endpoint

−0.43

<0.001

 

19

11

Original endpoint × univariate

0.15

0.055

 

21

14

  1. The numbers of significant effects (5 % level after Bonferroni correction) for all 58 microarray features with inclusion frequency larger or equal to 0.1 in any of the approaches are indicated in the two rightmost columns, separately by positive and negative signs