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Table 3 Cross-validation error and AUC value for the three methods

From: Large-scale risk prediction applied to Genetic Analysis Workshop 17 mini-exome sequence data

Item

Model

Statistic

Empirical Bayes method

Weighted empirical Bayes method

Joint covariance model

Cross-validation error

Gene + environment

Mean

0.26

0.24

0.24

  

SE

0.0020

0.0011

0.0012

AUC value

Gene + environment

Mean

0.76

0.80

0.78

  

SE

0.0102

0.0015

0.0148

AUC value

Gene

Mean

0.60

0.64

0.62

  

SE

0.0191

0.0183

0.0191

  1. AUC is the area under the ROC curve when minimizing the cross-validation error. SE, standard error of the cross-validation error and the AUC value.