Research Article
An Efficient Approach to Screening Epigenome-Wide Data
Table 4
Simulation results for selecting
important variables among 2,000 candidates including surrogate variables across 400 subjects.
| Statistics | Bon | FDR | TT | Bon | FDR | TT |
| Random error normally distributed |
| | | | # incorrect | 2 | 1 | 1 | 24 | 10 | 9 | Sensitivity | 0.851 | 0.949 | 0.941 | 0.761 | 0.968 | 0.965 | Specificity | 1 | 1 | 1 | 1 | 0.997 | 0.997 |
| | | | # incorrect | 64 | 29 | 21 | 210 | 141 | 93 | Sensitivity | 0.682 | 0.968 | 0.947 | 0.479 | 0.948 | 0.864 | Specificity | 1 | 0.988 | 0.994 | 0.999 | 0.925 | 0.976 |
| Random error distributed (df = 1) |
| | | | # incorrect | 4 | 3 | 3 | 47 | 19 | 18 | Sensitivity | 0.612 | 0.767 | 0.786 | 0.531 | 0.878 | 0.883 | Specificity | 1 | 1 | 1 | 1 | 0.997 | 0.997 |
| | | | # incorrect | 111 | 42 | 42 | 289 | 146 | 141 | Sensitivity | 0.445 | 0.88 | 0.837 | 0.281 | 0.841 | 0.717 | Specificity | 1 | 0.99 | 0.995 | 0.999 | 0.949 | 0.983 |
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Bon: Bonferroni, FDR: false discovery rate, and TT: training and testing. Cutoff percentage of 20%.
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