The 'Statement on Statistical Significance and P-Values' includes six principles underlying the proper use and interpretation of the p-value and is intended to improve the conduct and interpretation ...

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 ...

Statistical significance is a critical concept in data analysis and research. In essence, it’s a measure that allows researchers to assess whether the results of an experiment or study are due to ...

We present an importance sampling method for deciding, based on an observed random field, if a scan statistic provides significant evidence of increased activity in some localized region of time or ...

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 ...

Imagine, if you dare, a world without P values. Perhaps you’re already among the lucky participants in the human race who don’t know what a P value is. Trust me, you don’t want to. P stands for ...

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 ...

Researchers from Northwestern University, University of Pennsylvania, and University of Colorado published a new Journal of Marketing study that proposes abandoning null hypothesis significance ...