Research Article
An Efficient Approach to Screening Epigenome-Wide Data
Table 1
Simulation results for selecting
important variables among 2,000 candidates with surrogate variables included.
| Statistics | Bon | FDR | TT | Bon | FDR | TT |
| Random error normally distributed |
| | | | # incorrect | 0 | 1 | 1 | 3 | 8 | 2 | Sensitivity | 0.981 | 0.991 | 0.994 | 0.968 | 0.999 | 0.991 | Specificity | 1 | 1 | 1 | 1 | 0.996 | 1 |
| | | | # incorrect | 13 | 32 | 7 | 78 | 213 | 46 | Sensitivity | 0.936 | 0.998 | 0.982 | 0.814 | 0.996 | 0.931 | Specificity | 1 | 0.982 | 0.998 | 0.998 | 0.868 | 0.989 |
| Random error distributed (df = 1) |
| | | | # incorrect | 1 | 1 | 1 | 16 | 9 | 7 | Sensitivity | 0.892 | 0.958 | 0.963 | 0.837 | 0.982 | 0.941 | Specificity | 1 | 1 | 1 | 1 | 0.996 | 1 |
| | | | # incorrect | 46 | 29 | 21 | 169 | 158 | 95 | Sensitivity | 0.771 | 0.981 | 0.906 | 0.582 | 0.969 | 0.790 | Specificity | 1 | 0.986 | 0.999 | 0.999 | 0.909 | 0.993 |
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Bon: Bonferroni, FDR: false discovery rate, and TT: training and testing.
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