A Simulation Study of Permutation,Bootstrap, and Gene Dropping for Assessing Statistical Significance in the Case of Unequal Relatedness |
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| Authors: | Riyan Cheng Abraham A Palmer |
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| Institution: | *Department of Human Genetics, the University of Chicago, Chicago, Illinois 60637, and;†Department of Psychiatry and Behavioral Neuroscience, the University of Chicago, Chicago, Illinois 60637 |
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| Abstract: | 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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| Keywords: | Permutation bootstrap gene dropping mixed models relatedness |
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