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Table 1 Simulation examples: estimated means and standard deviations (in parentheses) of the empirical Youden index J over 100 replications

From: Flexible combination of multiple diagnostic biomarkers to improve diagnostic accuracy

  n=100 n=250 n=500
Example 1    
LKME 0.604 (0.0042) 0.628 (0.0019) 0.641 (0.0018)
GKME 0.572 (0.0063) 0.604 (0.0029) 0.623 (0.0023)
MMM 0.455 (0.0032) 0.470 (0.0021) 0.483 (0.0020)
MVN 0.633 (0.0018) 0.638 (0.0014) 0.647 (0.0012)
KSM 0.388 (0.0180) 0.458 (0.0104) 0.490 (0.0106)
SWM 0.555 (0.0065) 0.594 (0.0044) 0.611 (0.0035)
LR 0.628 (0.0022) 0.639 (0.0017) 0.646 (0.0017)
TREE 0.490 (0.0068) 0.525 (0.0047) 0.559 (0.0029)
Example 2    
LKME 0.636 (0.0075) 0.690 (0.0025) 0.710 (0.0015)
GKME 0.612 (0.0054) 0.654 (0.0045) 0.696 (0.0016)
MMM 0.609 (0.0033) 0.622 (0.0025) 0.622 (0.0022)
MVN 0.573 (0.0065) 0.571 (0.0047) 0.563 (0.0040)
KSM 0.214 (0.0281) 0.046 (0.0164) 0.047 (0.0171)
SWM 0.447 (0.0094) 0.426 (0.0078) 0.429 (0.0065)
LR 0.648 (0.0054) 0.675 (0.0028) 0.678 (0.0025)
TREE 0.433 (0.0052) 0.512 (0.0039) 0.555 (0.0036)
Example 3    
LKME 0.296 (0.0091) 0.367 (0.0053) 0.389 (0.0049)
GKME 0.511 (0.0052) 0.568 (0.0028) 0.592 (0.0022)
MMM 0.423 (0.0035) 0.434 (0.0021) 0.443 (0.0018)
MVN 0.344 (0.0050) 0.371 (0.0045) 0.377 (0.0041)
KSM 0.192 (0.0085) 0.193 (0.0084) 0.202 (0.0086)
SWM 0.370 (0.0057) 0.406 (0.0028) 0.417 (0.0025)
LR 0.307 (0.0043) 0.316 (0.0030) 0.320 (0.0026)
TREE 0.424 (0.0059) 0.477 (0.0042) 0.528 (0.0031)
Example 4    
LKME 0.103 (0.0102) 0.150 (0.0098) 0.209 (0.0089)
GKME 0.529 (0.0078) 0.626 (0.0050) 0.682 (0.0028)
MMM 0.184 (0.0084) 0.227 (0.0034) 0.236 (0.0026)
MVN 0.109 (0.0071) 0.152 (0.0056) 0.189 (0.0054)
KSM 0.188 (0.0050) 0.213 (0.0035) 0.220 (0.0028)
SWM 0.255 (0.0078) 0.293 (0.0050) 0.307 (0.0039)
LR 0.002 (0.0023) 0.004 (0.0008) 0.011 (0.0007)
TREE 0.257 (0.0143) 0.364 (0.0111) 0.368 (0.0101)