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Weighted False Discovery Rate Control in Large-Scale Multiple Testing
The use of weights provides an effective strategy to incorporate prior domain knowledge in large-scale inference. This paper studies weighted multiple testing in a decision-theoretic framework. We develop oracle and data-driven procedures that aim to maximize the expected number of true positives su...
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| Vydáno v: | J Am Stat Assoc |
|---|---|
| Hlavní autoři: | , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
2018
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6474384/ https://ncbi.nlm.nih.gov/pubmed/31011234 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/01621459.2017.1336443 |
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