The p-value has long been the figurehead of statistical analysis in biology, but its position is
under threat. p is now widely recognized as providing quite limited information about our …

Well-designed experiments are likely to yield compelling evidence with efficient sample
sizes. Bayes Factor Design Analysis (BFDA) is a recently developed methodology that …

Zoonomia is the largest comparative genomics resource for mammals produced to date. By
aligning genomes for 240 species, we identify bases that, when mutated, are likely to affect …

Recent anecdotal and scientific reports have provided evidence of a link between COVID-19
and chemosensory impairments, such as anosmia. However, these reports have …

The Bayesian framework for statistics is quickly gaining in popularity among scientists, for
reasons such as reliability and accuracy (particularly in noisy data and small samples), the …

This paper introduces JASP, a free graphical software package for basic statistical
procedures such as t tests, ANOVAs, linear regression models, and analyses of contingency …

This longitudinal study examined changes in Computational Thinking (CT) skills in first and
second grade students exposed to a developmentally appropriate coding curriculum. The …

This article explains a decision rule that uses Bayesian posterior distributions as the basis
for accepting or rejecting null values of parameters. This decision rule focuses on the range …

Sex differences in the human brain are of interest for many reasons: for example, there are
sex differences in the observed prevalence of psychiatric disorders and in some …

A sizeable literature exists on the use of frequentist power analysis in the null-hypothesis
significance testing (NHST) paradigm to facilitate the design of informative experiments. In …