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Table 6 The related pAUCs and the global test for three and four dimensions

From: Biomarker selection for medical diagnosis using the partial area under the ROC curve

        

Full biomarker Set

Reduced biomarker Set

  

Mean difference

Correlation

    

Forward selection

Backward selection

 

Case

1

2

3

4

ρ 0

ρ 1

True

Ave

SE

Power (Tg)

Ave

SE

Ave

SE

p = 3

1

0.0

0.0

0.0

-

0.0

0.0

0.005

0.010

0.002

0.052

0.011

0.002

0.013

0.002

 

2

0.5

0.0

0.0

-

0.0

0.0

0.012

0.015

0.004

0.576

0.014

0.003

0.015

0.003

 

3

0.5

0.5

0.0

-

0.0

0.0

0.017

0.019

0.004

0.870

0.016

0.005

0.016

0.005

 

4

0.5

0.5

0.5

-

0.0

0.0

0.021

0.023

0.005

0.977

0.018

0.006

0.018

0.007

 

5

0.5

1.0

0.0

-

0.0

0.0

0.028

0.030

0.006

1.000

0.028

0.007

0.027

0.008

 

6

0.5

0.5

0.0

-

0.1

0.1

0.016

0.018

0.004

0.845

0.015

0.004

0.016

0.004

 

7

0.5

0.5

0.0

-

0.5

0.5

0.014

0.016

0.004

0.713

0.015

0.004

0.016

0.004

 

8

0.5

0.5

0.0

-

0.9

0.9

0.013

0.015

0.004

0.616

0.014

0.004

0.016

0.004

 

9

0.5

1.0

0.0

-

0.1

0.1

0.027

0.029

0.006

0.998

0.027

0.006

0.027

0.007

 

10

0.5

1.0

0.0

-

0.5

0.5

0.025

0.026

0.006

0.995

0.025

0.006

0.025

0.006

 

11

0.5

1.0

0.0

-

0.9

0.9

0.036

0.038

0.006

1.000

0.034

0.010

0.021

0.017

p = 4

1

0.0

0.0

0.0

0.0

0.0

0.0

0.005

0.011

0.002

0.051

0.011

0.002

0.012

0.002

 

2

0.5

0.0

0.0

0.0

0.0

0.0

0.012

0.016

0.004

0.520

0.014

0.004

0.015

0.003

 

3

0.5

0.5

0.0

0.0

0.0

0.0

0.017

0.020

0.004

0.862

0.016

0.005

0.016

0.005

 

4

0.5

1.0

0.0

0.0

0.0

0.0

0.028

0.031

0.006

1.000

0.028

0.007

0.026

0.008

 

5

0.5

1.0

1.0

0.0

0.0

0.0

0.041

0.043

0.007

1.000

0.042

0.008

0.042

0.008

 

6

0.5

1.0

0.0

0.0

0.1

0.1

0.027

0.029

0.006

0.995

0.027

0.007

0.026

0.007

 

7

0.5

1.0

0.0

0.0

0.5

0.5

0.025

0.027

0.005

0.993

0.025

0.006

0.025

0.006

 

8

0.5

1.0

0.0

0.0

0.9

0.9

0.036

0.038

0.006

1.000

0.035

0.009

0.021

0.017

 

9

0.5

1.0

1.0

0.0

0.1

0.1

0.040

0.042

0.007

1.000

0.041

0.008

0.041

0.008

 

10

0.5

1.0

1.0

0.0

0.5

0.5

0.038

0.040

0.006

1.000

0.039

0.007

0.039

0.008

 

11

0.5

1.0

1.0

0.0

0.9

0.9

0.048

0.050

0.007

1.000

0.047

0.009

0.049

0.008