When it comes to deciding how significant a statistic is, Université de Montréal education professor Sébastien Béland is ...

Brian Beers is a digital editor, writer, Emmy-nominated producer, and content expert with 15+ years of experience writing about corporate finance & accounting, fundamental analysis, and investing.

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 ...

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 ...

When testing new treatments, drugmakers must show that their formulation bears out better results than a placebo in clinical trials. In fact, the new drug must outperform the placebo by a ...

In statistical practice P-values are regularly used to express the amount of evidence in the data, but there is no agreement on how to compute two-sided P-values when the sampling distributions are ...

'Statistical significance' is one of the most widely misunderstood phrases in science, according to a 2013 Scientific American article. It's a controversial topic. Probability values (p-values) have ...

During his Ph.D. research, mathematician Tyron Lardy worked on a new approach to hypothesis testing. Instead of the traditional p-value, he uses so-called e-values. These turn out to be more ...

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 ...