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CONFOUNDER ADJUSTMENT IN MULTIPLE HYPOTHESIS TESTING
We consider large-scale studies in which thousands of significance tests are performed simultaneously. In some of these studies, the multiple testing procedure can be severely biased by latent confounding factors such as batch effects and unmeasured covariates that correlate with both primary variab...
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| Опубликовано в: : | Ann Stat |
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| Главные авторы: | , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
2017
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6706069/ https://ncbi.nlm.nih.gov/pubmed/31439967 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1214/16-AOS1511 |
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