Correlation and association analyses are one of the most widely used statistical methods in
research fields, including microbiome and integrative multiomics studies. Correlation and …

Technological advances have enabled a new class of multivariate models for ecology, with
the potential now to specify a statistical model for abundances jointly across many taxa, to …

Microbiome studies have become routine in biomedical, agricultural and environmental
sciences with diverse aims, including diversity profiling, functional characterization, and …

Temporal crop diversification could reduce pesticide use by increasing the proportion of
crops with low pesticide use (dilution effects) or enhancing the regulation of pests, weeds …

Overeating disorders (ODs), usually stemming from dieting history and stress, remain a
pervasive issue in contemporary society, with the pathological mechanisms largely …

Residual randomization in permutation procedures (RRPP) is an appropriate means of
generating empirical sampling distributions for ANOVA statistics and linear model …

In the absence of annual laminations, time series generated from lake sediments or other
similar stratigraphic sequences are irregularly spaced in time, which complicates formal …

Individual bacteria and shifts in microbiome composition are associated with human
disease, including cancer. To unravel the connections underlying oral bacterial dysbiosis …

ANOSIM, PERMANOVA, and the Mantel test are all resemblance‐based permutation
methods widely used in ecology. Here, we report the results of the first simulation study, to …

Bacteria play a central role in the cycling of carbon, yet our understanding of the relationship
between the taxonomic composition and the degradation of dissolved organic matter (DOM) …