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Boosting the Power of the Sequence Kernel Association Test by Properly Estimating Its Null Distribution
The sequence kernel association test (SKAT) is probably the most popular statistical test used in rare-variant association studies. Its null distribution involves unknown parameters that need to be estimated. The current estimation method has a valid type I error rate, but the power is compromised g...
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| Publicado no: | Am J Hum Genet |
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| Autor principal: | |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Elsevier
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5005443/ https://ncbi.nlm.nih.gov/pubmed/27292111 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.ajhg.2016.05.011 |
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