A simulation study of permutation, bootstrap, and gene dropping for assessing statistical significance in the case of unequal relatedness.

نویسندگان

  • Riyan Cheng
  • Abraham A Palmer
چکیده

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.

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عنوان ژورنال:
  • Genetics

دوره 193 3  شماره 

صفحات  -

تاریخ انتشار 2013