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A Geometric Perspective on the Power of Principal Component Association Tests in Multiple Phenotype Studies
Joint analysis of multiple phenotypes can increase statistical power in genetic association studies. Principal component analysis, as a popular dimension reduction method, especially when the number of phenotypes is high-dimensional, has been proposed to analyze multiple correlated phenotypes. It ha...
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| Publicado no: | J Am Stat Assoc |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6764517/ https://ncbi.nlm.nih.gov/pubmed/31564761 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/01621459.2018.1513363 |
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