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Table 2 Improvement in the prediction accuracy of the fitted regression model in the testing replicates using the three collapsing methods

From: Detecting functional rare variants by collapsing and incorporating functional annotation in Genetic Analysis Workshop 17 mini-exome data

Method

Q1 (mean-square error)

Q2 (mean-square error)

Q4 (mean-square error)

Disease (average AUC score)

Proportion collapsing

0.1226466

0.0116719

−0.0068168

0.0023503

Data-adaptive sum

0.1193559

0.0027142

−0.0080903

0.0015294

Weighted sum

0.0779981

0.0080481

−0.0060441

0.0013407