Research Article
An Efficient Approach to Screening Epigenome-Wide Data
Table 5
Simulation results for selecting
important variables among 2,000 candidates including surrogate variables across 800 subjects.
| Statistics | Bon | FDR | TT | Bon | FDR | TT |
| Random error normally distributed |
| | | | # incorrect | 2 | 44 | 5 | 26 | 309 | 36 | Sensitivity | 0.991 | 1 | 0.998 | 0.949 | 1 | 0.988 | Specificity | 1 | 0.976 | 0.998 | 0.996 | 0.807 | 0.981 |
| | | | # incorrect | 64 | 29 | 32 | 210 | 141 | 130 | Sensitivity | 0.682 | 0.968 | 0.847 | 0.479 | 0.948 | 0.696 | Specificity | 1 | 0.988 | 0.999 | 0.999 | 0.925 | 0.995 |
| Random error distributed (df = 1) |
| | | | # incorrect | 0 | 1 | 1 | 4 | 9 | 2 | Sensitivity | 0.975 | 0.994 | 0.993 | 0.961 | 0.998 | 0.99 | Specificity | 1 | 1 | 1 | 1 | 0.995 | 0.999 |
| | | | # incorrect | 15 | 34 | 7 | 82 | 214 | 50 | Sensitivity | 0.928 | 0.998 | 0.98 | 0.803 | 0.994 | 0.924 | Specificity | 1 | 0.981 | 0.998 | 0.998 | 0.868 | 0.988 |
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Bon: Bonferroni, FDR: false discovery rate, and TT: training and testing.
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