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首页> 外文期刊>Annals of Human Genetics >A Comparison of the Likelihood Ratio Test and the Variance-Stabilising Transformation-Based Tests for Detecting Association of Rare Variants
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A Comparison of the Likelihood Ratio Test and the Variance-Stabilising Transformation-Based Tests for Detecting Association of Rare Variants

机译：相似度检验与基于方差稳定化变换的稀有变异关联检测的比较

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In a recent paper in this journal, the use of variance-stabilising transformation techniques was proposed to overcome the problem of inadequacy in normality approximation when testing association for a low-frequency variant in a case-control study. It was shown that tests based on the variance-stabilising transformations are more powerful than Fisher's exact test while controlling for type I error rate. Earlier in the journal, another study had shown that the likelihood ratio test (LRT) is superior to Fishers exact test, Wald's test, and Pearson's x2 test m testing association for low-frequency variants. Thus, it is of interest to make a direct comparison between the LRT and the tests based on the variance-stabilising transformations. In this commentary, we show that the LRT and the variance-stabilising transformation-based tests have comparable power greater than Fisher's exact test, Wald's test, and Pearson's x 2 test-
机译：在该杂志的最新论文中，提出了使用方差稳定化转换技术来克服在案例对照研究中测试低频变量的关联时正态性近似不足的问题。结果表明，在控制I类错误率的同时，基于方差稳定化转换的测试比Fisher的精确测试更强大。在该杂志的较早版本中，另一项研究表明，对于低频变量，似然比检验（LRT）优于Fishers精确检验，Wald检验和Pearson的x2检验。因此，有必要在LRT和基于方差稳定化转换的测试之间进行直接比较。在这篇评论中，我们证明了LRT和基于方差稳定化变换的检验具有比Fisher精确检验，Wald检验和Pearson的x 2检验更大的可比能力，

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