Clinical trials rely on statistics to show whether drugs are more effective than placebo pills. But how can we be certain? Semmick Photo/Shutterstock How should scientists interpret their data?

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 ...

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 ...

A review of p-values in the biomedical literature from 1990 to 2015 shows that these widely misunderstood statistics are being used increasingly, instead of better metrics of effect size or ...

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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 ...

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 ...