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A direct approach to estimating false discovery rates conditional on covariates
Modern scientific studies from many diverse areas of research abound with multiple hypothesis testing concerns. The false discovery rate (FDR) is one of the most commonly used approaches for measuring and controlling error rates when performing multiple tests. Adaptive FDRs rely on an estimate of th...
Tallennettuna:
| Julkaisussa: | PeerJ |
|---|---|
| Päätekijät: | , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
PeerJ Inc.
2018
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6292380/ https://ncbi.nlm.nih.gov/pubmed/30581661 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.7717/peerj.6035 |
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