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是时候停止使用统计学显著性了吗?

Is it time to stop using statistical significance?

作者信息

Frank Oliver, Tam Cw Michael, Rhee Joel

机构信息

Oakden Medical Centre, Hillcrest, South Australia.

Discipline of General Practice, Adelaide Medical School, University of Adelaide.

出版信息

Aust Prescr. 2021 Feb;44(1):16-18. doi: 10.18773/austprescr.2020.074. Epub 2021 Feb 1.

Abstract

The important first step in the critical appraisal of a randomised trial is not an evaluation of the statistical analyses. The most important aspect to consider when reviewing a study of a new drug is the appropriateness and quality of the trial design and methods The next most important aspect is the effect size of different treatments and its clinical significance. Rather than reporting statistical significance, studies should report the difference between treatments and its precision Over-reliance on statistical significance and p values may lead to incorrect conclusions. Trial reports about drugs should therefore avoid the term statistical significance and quote p values with caution.

摘要

对随机试验进行批判性评价时,重要的第一步不是评估统计分析。在审查一项新药研究时,需要考虑的最重要方面是试验设计和方法的恰当性与质量。其次重要的方面是不同治疗方法的效应大小及其临床意义。研究应报告治疗方法之间的差异及其精确性,而不是报告统计学显著性。过度依赖统计学显著性和p值可能会导致错误的结论。因此,关于药物的试验报告应避免使用“统计学显著性”一词,并谨慎引用p值。

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