p值是临床资料统计分析报告结果的一种有效而优良的度量

T. Yanagawa
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引用次数: 0

摘要

许多临床研究是在日本进行的,其样本量没有统计上的确定。对此类研究的数据应用内曼-皮尔逊型统计检验是不合理的,应该停止。此外,在不考虑疾病、药物和其他因素的情况下,临床研究中通常采用的5%显著性水平是不合理的。或者,本文建议使用p值作为显示两种处理差异大小的度量;主要研究者的作用是综合考虑疾病、药物等因素、样本量和p值对研究结果进行总结。
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p -value is a Useful and Excellent Measure for Reporting Results of Statistical Analysis on Clinical Data
Many clinical studies are conducted in Japan with sample sizes that are not determined statistically. Application of Neyman-Pearson type statistical tests to data from such studies is not justifiable and should be stopped. Also 5% significance level that is commonly employed in a clinical study without taking into account disease, drug and other factors is not justifiable. Alternatively, the use of p-value is recommended in this paper as a measure of showing the magnitude of difference of two treatments; it is the role of principal investigator to summarize the study results by considering disease, drug and other factors, sample sizes and p-value.
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