单纯应用置换检验会导致第一类错误率膨胀。

Naive application of permutation testing leads to inflated type I error rates.

作者信息

Churchill G A, Doerge R W

机构信息

The Jackson Laboratory, Bar Harbor, Maine 04609, USA.

出版信息

Genetics. 2008 Jan;178(1):609-10. doi: 10.1534/genetics.107.074609.

Abstract

Failure to account for family structure within populations or in complex mating designs via uninformed applications of permutation testing will lead to inflated type I error rates. Careful consideration of the design factors is essential since some situations allow several valid permutation strategies, and the choice that maximizes statistical power will not always be intuitive.

摘要

在群体或复杂交配设计中,若通过不了解情况地应用排列检验而未考虑家庭结构,将会导致第一类错误率升高。仔细考虑设计因素至关重要,因为在某些情况下存在多种有效的排列策略,而使统计功效最大化的选择并不总是直观的。

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