| MICS | Empirical Bayes | |||
 |
 |
 |
 |
|
| Case 1: subtracting | ||||
| 0 | 0.9689(0.0007) | 0.641 | 1.0147(0.0004) | 0.612 |
| 1 | 0.9734(0.0006) | 0.928 | 1.0069(0.0004) | 0.897 |
| 2 | 0.9820(0.0002) | 0.987 | 1.0024(0.0002) | 0.967 |
| 3 | 0.9869(0.0002) | 0.998 | 0.9972(0.0002) | 0.987 |
| Case 2: adding | ||||
| 0 | 0.9691(0.0010) | 0.641 | 0.9679(0.0005) | 0.642 |
| 1 | 0.9738(0.0004) | 0.928 | 0.9733(0.0004) | 0.928 |
| 2 | 0.9824(0.0003) | 0.987 | 0.9823(0.0002) | 0.987 |
| 3 | 0.9872(0.0001) | 0.998 | 0.9872(0.0001) | 0.998 |
