Skip to main content

Table 2 The related optimal coefficients a * , pAUC ( a * ), and the power of the global test

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

 

a 1 *

a 2 *

pAUC

Case

True

Ave

SE

True

Ave

SE

True

Ave

SE

Power(Tg)

1

0.000

-0.014

0.707

0.000

0.046

0.706

0.005

0.008

0.002

0.043

2

0.000

-0.005

0.552

1.000

0.763

0.337

0.009

0.011

0.003

0.271

3

0.000

0.016

0.427

1.000

0.892

0.147

0.012

0.014

0.004

0.631

4

0.000

0.018

0.238

1.000

0.970

0.042

0.025

0.026

0.006

0.999

5

-0.447

-0.331

0.473

0.894

0.779

0.245

0.010

0.011

0.003

0.349

6

-0.447

-0.400

0.294

0.894

0.859

0.126

0.014

0.015

0.004

0.731

7

-0.447

-0.428

0.129

0.894

0.892

0.059

0.029

0.030

0.006

1.000

8

-0.669

-0.655

0.098

0.743

0.746

0.067

0.016

0.018

0.004

0.895

9

-0.669

-0.666

0.039

0.743

0.744

0.035

0.029

0.030

0.006

0.999

10

-0.669

-0.668

0.019

0.743

0.743

0.017

0.069

0.070

0.006

1.000

11

-0.645

-0.569

0.324

0.765

0.694

0.299

0.016

0.017

0.004

0.907

12

-0.606

-0.598

0.116

0.795

0.787

0.100

0.020

0.021

0.004

0.995

13

-0.519

-0.514

0.088

0.855

0.852

0.052

0.033

0.034

0.005

1.000

14

-0.692

-0.659

0.215

0.722

0.689

0.212

0.037

0.037

0.004

1.000

15

-0.682

-0.680

0.050

0.731

0.730

0.049

0.042

0.043

0.004

1.000

16

-0.657

-0.656

0.024

0.754

0.754

0.020

0.057

0.057

0.005

1.000

17

0.563

0.407

0.441

0.826

0.686

0.412

0.012

0.013

0.003

0.505

18

0.467

0.436

0.238

0.884

0.853

0.157

0.015

0.016

0.004

0.799

19

0.239

0.234

0.163

0.971

0.958

0.042

0.026

0.027

0.005

0.999

20

0.604

0.451

0.438

0.797

0.653

0.423

0.014

0.015

0.004

0.792

21

0.529

0.498

0.232

0.848

0.812

0.195

0.017

0.018

0.004

0.923

22

0.325

0.326

0.123

0.946

0.936

0.044

0.027

0.028

0.005

0.999

23

0.707

0.603

0.364

0.707

0.607

0.368

0.011

0.013

0.003

0.478

24

0.707

0.664

0.241

0.707

0.667

0.237

0.017

0.018

0.004

0.903

25

0.707

0.696

0.117

0.707

0.698

0.117

0.038

0.039

0.007

1.000