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Table 3 Empirical power estimates (M = 3)

From: On the association analysis of CNV data: a fast and robust family-based association method

Significance Level

  

β

.1

.2

.3

.4

.5

.6

.001

BSC

T1

0.0135

0.1390

0.4830

0.8410

0.9830

0.9985

T2

0.0065

0.0510

0.2370

0.5745

0.8860

0.9795

FBAT

5e-4

0.0060

0.0340

0.1300

0.3570

0.6005

MSC

T1

0.0160

0.1570

0.5530

0.8740

0.9885

1.0000

T2

0.0085

0.0685

0.3200

0.6900

0.9290

0.9945

FBAT

0.0000

0.0100

0.0695

0.2505

0.5575

0.8385

WSC

T1

0.0195

0.1615

0.5375

0.8935

0.9910

0.9980

T2

0.0075

0.0815

0.3300

0.7240

0.9545

0.9970

FBAT

0.0010

0.0115

0.0915

0.3240

0.6460

0.8955

.01

BSC

T1

0.0710

0.3585

0.7510

0.9605

0.9990

1.0000

T2

0.0265

0.1780

0.4630

0.7900

0.9685

0.9950

FBAT

0.0155

0.0455

0.1540

0.3775

0.6620

0.8430

MSC

T1

0.0725

0.3805

0.8070

0.9690

0.9990

1.0000

T2

0.0340

0.2100

0.5640

0.8660

0.9790

0.9980

FBAT

0.0150

0.0550

0.2400

0.5385

0.8155

0.9645

WSC

T1

0.0800

0.3795

0.7925

0.9740

0.9985

1.0000

T2

0.0370

0.2115

0.5730

0.8855

0.9920

0.9995

FBAT

0.0175

0.0710

0.2740

0.6350

0.8775

0.9740

.05

BSC

T1

0.1905

0.5930

0.9075

0.9920

1.0000

1.0000

T2

0.0975

0.3505

0.6880

0.9080

0.9910

0.9990

FBAT

0.0575

0.9610

0.3660

0.6310

0.8555

0.9525

MSC

T1

0.2050

0.6190

0.9295

0.9900

1.0000

1.0000

T2

0.1110

0.3915

0.7650

0.9495

0.9970

1.0000

FBAT

0.0725

0.2080

0.4990

0.7585

0.9305

0.993

WSC

T1

0.2095

0.6145

0.9260

0.9950

0.9995

1.0000

T2

0.1255

0.3995

0.7650

0.9530

0.9990

1.0000

FBAT

0.0790

0.2240

0.5460

0.8415

0.9705

0.9960

  1. The empirical power for the proposed methods have been estimated at various significance levels based on 2000 replicates for different values of β under BSC, MSC and WSC, when there are three copy number clusters. The score test using the inferred CNVs is denoted by T 1. The score test using the intensity measurements is denoted by T 2. For comparison, we also calculated the power using FBAT
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BMC Bioinformatics

ISSN: 1471-2105

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