In science and health, we are often looking for results that are considered to be “statistically significant.” The golden rule is if the p-value is less than 0.05, then the result is statistically ...

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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 ...

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 ...

For researchers there's a lot that turns on the p value, the number used to determine whether a result is statistically significant. The current consensus is that if p is less than .05, a study has ...

P values indicate how incompatible the observed data may be with a null hypothesis; “P<0.05” implies that a treatment effect or exposure association larger than that observed would occur less than 5% ...

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 ...

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 ...