|Statement on Statistical Significance and P-values.
The world’s largest professional association of statisticians, the American Statistical Association, has made a public statement regarding the use of P-values in research. This statement, presented by Wasserstein and Lazar, aims to provide some clarification on the proper use and interpretation of the P-value which ‘can be a useful statistical measure but it is commonly misused and misinterpreted’. Understanding the meaning of P-values is clearly important and essential to build a strong basis for good statistical practice. It is worth noting that this statement, no matter how official, is not novel: dozens of previous publications have already emphasized the importance of understanding the concepts of null hypothesis testing and P-values. However, this message has not been recognized and it seems unclear what needs to be done so that some action is taken. The answer is very simple: we, the biomedical researchers, can only change the way we currently perform data analysis if we know and understand what the proper alternatives are. This is something that is not being communicated clearly at the moment and that is well worth an effort. (http://dx.doi.org/10.1080/00031305.2016.1154108
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