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Bounding the k-family-wise error-rate using resampling methods
Published on May 23, 20074373 Views
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Chapter list
Bounding the k-family-wise error rate using resampling methods00:03
Overview00:25
Overview01:37
Motivating example02:38
A pattern function to quantify the state04:09
The null hypothesis04:42
Rejecting the null hypothesis05:40
Motivating example06:37
Motivating example06:55
Alternative null hypotheses 107:51
Testing a single hypothesis 209:05
Alternative null hypotheses 310:20
Alternative null hypotheses 410:47
Alternative null hypotheses 512:13
Alternative null hypotheses 613:38
Bonferroni correction 114:35
Bonferroni correction 215:46
Randomisation (permutation) testing 117:58
Randomisation (permutation) testing 219:16
Subsampling the transformation group 120:58
Subsampling the transformation group 222:31
Subsampling the transformation group 322:50
The FWER 124:53
The FWER 226:03
The k-FWER 129:30
The k-FWER 230:33
A uniform bound on the k-FWER 132:36
A uniform bound on the k-FWER 3 233:34
A uniform bound on the k-FWER35:11
The FDP 136:56
The FDP 238:23
Technical details39:14
How to choose the thresholds?40:28
Alon and Golub datasets 142:28
Alon and Golub datasets 242:51
Achievements46:02