Department of Human Genetics, the University of Chicago, Chicago, IL 60637, USA.
Genetics. 2013 Mar;193(3):1015-8. doi: 10.1534/genetics.112.146332. Epub 2012 Dec 24.
We used simulations to evaluate methods for assessing statistical significance in association studies. When the statistical model appropriately accounted for relatedness among individuals, unrestricted permutation tests and a few other simulation-based methods effectively controlled type I error rates; otherwise, only gene dropping controlled type I error but at the expense of statistical power.
我们使用模拟来评估关联研究中评估统计显著性的方法。当统计模型适当地考虑到个体之间的相关性时,不受限制的置换检验和其他一些基于模拟的方法有效地控制了Ⅰ型错误率;否则,只有基因剔除控制了Ⅰ型错误,但牺牲了统计功效。