p -value is a Useful and Excellent Measure for Reporting Results of Statistical Analysis on Clinical Data

T. Yanagawa
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Abstract

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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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
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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