Table 1.
Comparing the type I error rate for the four different methods
Data generated under hierarchical model | ||||
Nominal P value | ||||
Test method | 0.001 | 0.01 | 0.05 | 0.1 |
Bartlett | 0.001032 | 0.01014 | 0.0504 | 0.1006 |
F test | 0.001011 | 0.01003 | 0.05001 | 0.1001 |
DiffVar (abs) | 0.0010029 | 0.01023 | 0.05094 | 0.1036 |
DiffVar (sq) | 0.0007118 | 0.009800 | 0.0499 | 0.1018 |
Resampled data from kidney non-diseased samples | ||||
Nominal P value | ||||
Test method | 0.001 | 0.01 | 0.05 | 0.1 |
Bartlett | 0.009 | 0.0257 | 0.07715 | 0.1331 |
F test | 0.0089 | 0.0253 | 0.0763 | 0.1319 |
DiffVar (abs) | 0.001 | 0.0104 | 0.0523 | 0.105 |
DiffVar (sq) | 0.0004 | 0.00665 | 0.0448 | 0.0981 |
Data were generated in two ways: under a hierarchical model and by randomly selecting the non-diseased kidney samples. Median type I error rates are reported for 1000 simulations with no differentially variable or differentially methylated features. For simulations generated under the hierarchical model, the standard deviation with which the error rate is estimated ranges from approximately 0.00024 for rates near 0.001 to 0.0029 for rates near 0.1 with no notable difference between the methods. For the resampled data, the standard deviation ranges from approximately 0.0026 for rates near 0.001 to 0.026 for rates near 0.1 with DiffVar (sq) being noticeably less variable than the other methods. abs, absolute deviations; sq, squared deviations.