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An improved and explicit surrogate variable analysis procedure by coefficient adjustment
Unobserved environmental, demographic and technical factors canadversely affect the estimation and testing of the effects ofprimary variables. Surrogate variable analysis, proposed to tacklethis problem, has been widely used in genomic studies. To estimatehidden factors that are correlated with the...
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| Publié dans: | Biometrika |
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| Auteurs principaux: | , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Oxford University Press
2017
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5627626/ https://ncbi.nlm.nih.gov/pubmed/29430031 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/biomet/asx018 |
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