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 ...

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 ...

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 ...

Senior Lecturer in Comparative and Environmental Physiology, University of Roehampton How should scientists interpret their data? Emerging from their labs after days, weeks, months, even years spent ...

The more I listen, the more I hear about the disenchanted, tired and uninspired physician. It's still the exception and medicine is still rich with great and inspired healthcare professionals, yet ...

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 ...

The P value reported by tests is a probabilistic significance, not a biological one. Figure 2: Repeated independent observations are used to estimate the s.d. of the null distribution and derive a ...