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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 en:J Am Stat Assoc
Autores principales: Liu, Zhonghua, Lin, Xihong
Formato: Artigo
Lenguaje:Inglês
Publicado: 2019
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Acceso en línea: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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