Analysis of the Statistical Techniques and Errors in the Field of Sasang Constitution Researches: from 2011 to 2015

Sujung Kim, Sang-Hyuk Kim, Siwoo Lee
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Abstract

Analysis of the Statistical Techniques and Errors in the Field of Sasang Constitution Researches: from 2011 to 2015 Sujung Kim, Sanghyuk Kim, Siwoo Lee Korea Institute of Oriental Medicine Objectives This study was to identify the types of errors in the statistical analysis and trends of previous reported papers that used various statistical techniques. Methods We have selected 118 original articles for statistical review from the OASIS(http://oasis.kiom.re.kr) and the Pubmed(http://www.pubmed.gov) in the field of Sasang constitutional medicine. Published year was restricted from 2011 to 2015. Results 1. The ANOVA(25.72%) was the statistic of choice overall, followed by the chi-square test(21.74%), regression analysis(14.13%), t-test(11.59%), and etc. 2. By examining the errors of the statistical methods, there were 42(59.2%) thesis with errors among 71 thesis using ANOVA, 19(31.7%) thesis among 60 thesis using chi-square test, and 35(89.7%) over 39 thesis using regression analysis. Conclusions To improve the quality of Sasang Constitution, the participation of statisticians in research design will reduce the significant errors in statistical interpretation of the results.
2011 - 2015年沙山宪法研究领域的统计方法与误差分析
韩国东方医学研究所(Korea Institute of Oriental Medicine) 2011 - 2015年Sasang体质研究领域的统计技术与误差分析目的:本研究旨在确定使用各种统计技术的先前报道的论文在统计分析中的误差类型和趋势。方法选取Sasang体质医学领域的原创文章118篇,分别从OASIS(http://oasis.kiom.re.kr)和Pubmed(http://www.pubmed.gov)进行统计分析。出版年份限于2011年至2015年。结果1。方差分析(25.72%)是总体选择的统计量,其次是卡方检验(21.74%)、回归分析(14.13%)、t检验(11.59%)等。通过统计方法的误差检验,方差分析71篇论文中有42篇(59.2%)有误差,卡方检验60篇论文中有19篇(31.7%)有误差,回归分析39篇论文中有35篇(89.7%)有误差。结论统计人员参与研究设计可以减少统计解释结果的显著错误,从而提高《沙山宪法》的质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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