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Table 1 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 12%

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

0.1613

0.3046

0.1503

0.1264

0.1854

0.0891

   

100

0.1168

0.2226

0.0687

0.0719

0.0769

0.0513

   

200

0.0696

0.1750

0.0546

0.0501

0.0589

0.0360

   

400

0.0813

0.1137

0.0507

0.0273

0.0404

0.0199

0.4

0.49

0.52

50

0.0793

0.1870

0.0623

0.1158

0.0618

0.0785

   

100

0.0584

0.1295

0.0346

0.0724

0.0356

0.0462

   

200

0.0038

0.0870

0.0009

0.0462

0.0032

0.0279

   

400

0.0073

0.0536

0.0070

0.0270

0.0100

0.0147

0.6

0.64

0.84

50

0.0724

0.1378

0.0599

0.1157

0.0555

0.0763

   

100

0.0311

0.0884

0.0350

0.0675

0.0259

0.0421

   

200

0.0147

0.0575

0.0201

0.0408

0.0152

0.0227

   

400

0.0086

0.0332

0.0015

0.0240

−0.0009

0.0138

0.8

0.81

1.28

50

0.0568

0.1203

0.0531

0.1117

0.0528

0.0880

   

100

0.0399

0.0727

0.0379

0.0669

0.0291

0.0465

   

200

0.0167

0.0435

0.0149

0.0383

0.0115

0.0241

   

400

0.0033

0.0290

0.0021

0.0253

0.0027

0.0148

  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.