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Table 2 Relative bias and Mean Square Error (MSE) of the cut-point in the normal homoscedastic scenario with diseased and disease-free fractions of 50% and a censoring level of 25%

From: Optimal cut-point definition in biomarkers: the case of censored failure time outcome

    

Youden index

Concordance probability

Point closest-to-(0,1) corner

J(copt)

CZ(copt)

copt

N

Relative bias

MSE

Relative bias

MSE

Relative bias

MSE

0.2

0.36

0.25

50

0.1327

0.3204

0.1582

0.1366

0.1498

0.0983

   

100

0.1172

0.2448

0.1078

0.0798

0.1016

0.0565

   

200

0.0777

0.1951

0.0796

0.0525

0.0561

0.0388

   

400

0.1123

0.1196

0.0541

0.0304

0.0408

0.0214

0.4

0.49

0.52

50

0.0728

0.2029

0.0740

0.1202

0.0739

0.0793

   

100

0.0490

0.1332

0.0327

0.0771

0.0339

0.0489

   

200

0.0200

0.0946

0.0101

0.0522

0.0031

0.0294

   

400

0.0042

0.0573

0.0037

0.0274

0.0075

0.0157

0.6

0.64

0.84

50

0.0651

0.1446

0.0589

0.1182

0.0477

0.0817

   

100

0.0491

0.0947

0.0428

0.0428

0.0355

0.0355

   

200

0.0185

0.0605

0.0237

0.0447

0.0192

0.0237

   

400

0.0058

0.0367

0.0055

0.0255

0.0004

0.0148

0.8

0.81

1.28

50

0.0514

0.1236

0.0523

0.1158

0.0473

0.0990

   

100

0.0384

0.0786

0.0373

0.0722

0.0299

0.0505

   

200

0.0149

0.0464

0.0140

0.0401

0.0081

0.0259

   

400

0.0053

0.0314

0.0064

0.0271

0.0024

0.0158

  1. XZ ≤ τ ~ N(μZ ≤ τ, 1), XZ >τ ~ N(0, 1). The levels of J and CZ are achieved by μZ ≤ τ = 0.51, 1.05, 1.68, 2.56, respectively.