Detecting a weak association by testing its multiple perturbations: a data mining approach.
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ABSTRACT:
SUBMITTER: Lo MT
PROVIDER: S-EPMC4035575 | biostudies-literature | 2014
REPOSITORIES: biostudies-literature
Publications
Detecting a weak association by testing its multiple perturbations: a data mining approach.
Lo Min-Tzu MT Lee Wen-Chung WC
Scientific reports 20140528
Many risk factors/interventions in epidemiologic/biomedical studies are of minuscule effects. To detect such weak associations, one needs a study with a very large sample size (the number of subjects, n). The n of a study can be increased but unfortunately only to an extent. Here, we propose a novel method which hinges on increasing sample size in a different direction-the total number of variables (p). We construct a p-based 'multiple perturbation test', and conduct power calculations and compu ...[more]
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