A Simulation Study of Permutation, Bootstrap, and Gene Dropping for Assessing Statistical Significance in the Case of Unequal Relatedness-Reference-Cited by-同舟云学术

A Simulation Study of Permutation, Bootstrap, and Gene Dropping for Assessing Statistical Significance in the Case of Unequal Relatedness

Published:2013-03-01 Issue:3 Volume:193 Page:1015-1018
ISSN:1943-2631
Container-title:Genetics
language:en
Short-container-title:

Author:

Cheng Riyan¹,Palmer Abraham A¹²

Affiliation:

1. Department of Human Genetics, the University of Chicago, Chicago, Illinois 60637, and

2. Department of Psychiatry and Behavioral Neuroscience, the University of Chicago, Chicago, Illinois 60637

Abstract

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.

Publisher

Oxford University Press (OUP)

Subject

Genetics

Link

https://academic.oup.com/genetics/article-pdf/193/3/1015/42121175/genetics1015.pdf

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