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Hypothesis testing at the extremes: fast and robust association for high-throughput data
A number of biomedical problems require performing many hypothesis tests, with an attendant need to apply stringent thresholds. Often the data take the form of a series of predictor vectors, each of which must be compared with a single response vector, perhaps with nuisance covariates. Parametric te...
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| Publicado no: | Biostatistics |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2015
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4804120/ https://ncbi.nlm.nih.gov/pubmed/25792622 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/biostatistics/kxv007 |
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