Significance testing, with appropriate multiple testing correction, is currently the most convenient method for summarizing the evidence for association between a disease and a genetic variant.

A test of statistical significance addresses the question, How likely is a result, assuming the null hypotheses to be true. Randomness, a central assumption underlying commonly used tests of ...

Post-hoc testing is carried out after a statistical analysis where you have performed multiple significance tests, ‘post-hoc’ coming from the Latin “after this”. Post-hoc analysis represents a way to ...

Michael Lew has received funding from the NHMRC. Yesterday’s article by Geoff Cumming, based on a very recent Proceedings of the National Academy of Science paper, argued that “null hypothesis ...

Every research lab is constantly innovating; either by creating something new or by understanding the equations and statistics underlying each vital subject, the stakes are high. With trillions of ...

A recent study that questioned the healthfulness of eggs raised a perpetual question: Why do studies, as has been the case with health research involving eggs, so often flip-flop from one answer to ...

My print column this week examines the concept of statistical significance -- a concept that the Supreme Court recently weighed in on, but that remains elusive even to some scientists who use it to ...

The Mann-Whitney U Test, also known as the Wilcoxon Rank Sum Test, is a non-parametric statistical test used to compare two samples or groups. The Mann-Whitney U Test assesses whether two sampled ...

A century ago, two oddly domestic puzzles helped set the rules for what modern science treats as "real": a Guinness brewer charged with quality control and a British lady insisting she can taste ...