ASA President’s Task Force Statement on Statistical Significance and Replicability

By Yoav Benjamini, R.D. De Veaux, Bradley Efron, S. Evans, Mark M. Glickman, B. Graubard, Xuming He, Xiao-Li Meng, Nancy Reid, Stephen M. Stigler and 5 more. Harvard data science review, 2021

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The value of hypothesis testing, and the frequent misinterpretation of p-values as a cornerstone of statistical methodology, continues to be debated. In 2019, the President of the American Statistical Association (ASA) convened a Task Force to write a succinct statement about the use of statistical methods in scientific studies, specifically hypothesis tests and p-values, and their connection to replicability.

Subfields: Artificial Intelligence, Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/0f08cf1899a76d850aabaea7c362e17dedc3bda0