ASA’s Statement on p-Values: Context, Process, and Purpose
Can we rely on p-values? Everyone who has ever participated in a debate on the validity of science, …
Misinterpretations of statistical tests, confidence intervals and statistical power dominate much of the scientific literature. The authors of this essay explain the problem, list common made mistakes and provide guidelines for improving statistical interpretation and reporting.
Title: Statistical tests, P-values, confidence intervals, and power: a guide to misinterpretations
Authors: Greenland S, Senn SJ, Rothman KJ, Carlin JB, Poole C, Goodman SN, Altman DG
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