被误解的P值：为何统计学显著性在临床实践中并不足够。
The misunderstood P-value: why statistical significance is not enough in clinical practice.
作者信息
Ahmed Ebadullah S, Butt Mohsin N
机构信息
Department of Anaesthesiology, Aga Khan University, Karachi, Pakistan.
Department of Anaesthesiology, Aga Khan University, Karachi, Pakistan.
出版信息
Br J Anaesth. 2025 Apr;134(4):909-913. doi: 10.1016/j.bja.2025.01.008. Epub 2025 Feb 4.
Abstract
P-values have traditionally guided clinical research, but over-reliance on them can lead to misinterpretation and poor decision-making. This article highlights common misconceptions about P-values and suggests incorporating the minimum clinically important difference (MCID) along with other metrics such as effect sizes and Bayesian methods. Evidence-based practice is essential in anaesthesiology, and research findings should be evaluated in the context of patient outcomes to guide clinical decisions.
摘要
P值传统上一直指导着临床研究，但过度依赖P值可能会导致误解和决策失误。本文强调了关于P值的常见误解，并建议将最小临床重要差异（MCID）与效应量和贝叶斯方法等其他指标结合起来。循证实践在麻醉学中至关重要，研究结果应在患者预后的背景下进行评估，以指导临床决策。
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