Naive Application of Permutation Testing Leads to Inflated Type I Error Rates

This is the authors' abstract. We don't add key points for this paper.

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.