统计学意义革命。
The statistical significance revolution.
机构信息
Department of Medicine and Herbert Irving Comprehensive Cancer Center, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA.
Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA.
出版信息
JNCI Cancer Spectr. 2024 Apr 30;8(3). doi: 10.1093/jncics/pkae035.
Statistical significance has long relied on the criterion of P less than or equal to .05. Although this threshold has generally functioned well, it has engendered some negative practices to circumvent it and been criticized as too inflexible. We concur with the statisticians and methodologists who are currently arguing for more flexibility to the P value and more reliance on the 95% confidence interval, a shift that is likely to change future practice in data analysis and interpretation for oncology.
统计显著性长期以来一直依赖于 P 值小于或等于 0.05 的标准。虽然这一阈值通常运行良好，但它也产生了一些规避它的负面做法，并被批评为过于僵化。我们同意目前正在为 P 值争取更大灵活性和更多依赖 95%置信区间的统计学家和方法学家的观点，这种转变可能会改变肿瘤学数据分析和解释的未来实践。
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