Evaluating statistical trends in high-dimensional phenotypes poses challenges for comparative biologists, because the high-dimensionality of the trait data relative to the number of species can ...
Permutation methods provide flexible, distribution-free approaches to statistical inference by rearranging data labels to generate an empirical null distribution for a test statistic. Historically ...
Mixed models combine fixed effects, which represent population-level influences, with random effects that capture variation between clusters or subjects. They are widely used in fields ranging from ...