When it comes to deciding how significant a statistic is, Université de Montréal education professor Sébastien Béland is clear: "Our goal is to change practices in order to improve quality in the ...

If you cast a wide enough net, you’ll find what looks like a prize-winning fish. But you’ll also catch a lot of seaweed, plastic debris, and maybe even a dolphin you didn’t mean to bring in. Such is ...

The pressure for medical treatment for COVID generated lots and lots of studies. Some good, some awful, few peer-reviewed before being widely and wildly disseminated. A new study looks at how we might ...

This week, The American Statistician published a special issue, "Statistical Inference in the 21st Century: A World Beyond p < 0.05," which includes 43 new papers by leading statisticians. The ...

The pursuit of science is designed to search for significance in a maze of data. At least, that’s how it’s supposed to work. To support or refute a hypothesis, the goal is to establish statistical ...

A small p-value often means the observed data effect is statistically significant. Set a significance level to compare with the p-value to validate investment hypotheses. Utilizing p-values in Excel ...

Science is in the throes of a reproducibility crisis, and researchers, funders and publishers are increasingly worried that the scholarly literature is littered with unreliable results. Now, a group ...

The mid-p-value is the standard p-value for a test minus half the difference between it and the nearest lower possible value. Its smaller size lends it an obvious appeal to users-it provides a more ...

On first consideration, it seems a straightforward question: How effective and safe is drug A in treating condition B? But the design and analysis of the clinical trials that set out to answer this ...

Your editorial “The FDA Returns to Its Bad Habits” (Feb. 21) explains, “Reata’s p-value was 0.014, which means there was a 1.4% chance that its positive result was a fluke.” A related, true statement ...