P-value (Probability Value): The p-value is a statistical measure used in research to help decide whether the results of a study are likely due to chance. More specifically, it represents the ...

Over the past couple of years, Stanford meta-researcher John Ioannidis and several colleagues have been working on a paper that should make any nerd think twice about p-values, those tests of ...

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 ...

How many statisticians does it take to ensure at least a 50 percent chance of a disagreement about p-values? According to a tongue-in-cheek assessment by statistician George Cobb of Mount Holyoke ...

For decades, scientists have been using the probability value, commonly known as p-value, to test the significance of their findings. The p-value falls from 0 to 1, and the lower the number, the ...

How many ostensibly "positive" studies are wrong? In this deep-dive analysis, MedPage Today clinical reviewer F. Perry Wilson, MD, explains that the number may be much higher than you think. Some ...

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 ...