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 ...

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 ...

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 ...

He invented p-values, significance testing, maximum likelihood estimation, analysis of variance, and even linkage analysis in genetics. The Simply Statistics blog estimates that if every paper that ...

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 ...

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