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The null hypothesis significance test in health sciences research (1995-2006): statistical analysis and interpretation

机译:卫生科学研究中的原假设假设显着性检验(1995-2006年):统计分析和解释

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摘要

BackgroundThe null hypothesis significance test (NHST) is the most frequently used statistical method, although its inferential validity has been widely criticized since its introduction. In 1988, the International Committee of Medical Journal Editors (ICMJE) warned against sole reliance on NHST to substantiate study conclusions and suggested supplementary use of confidence intervals (CI). Our objective was to evaluate the extent and quality in the use of NHST and CI, both in English and Spanish language biomedical publications between 1995 and 2006, taking into account the International Committee of Medical Journal Editors recommendations, with particular focus on the accuracy of the interpretation of statistical significance and the validity of conclusions.MethodsOriginal articles published in three English and three Spanish biomedical journals in three fields (General Medicine, Clinical Specialties and Epidemiology - Public Health) were considered for this study. Papers published in 1995-1996, 2000-2001, and 2005-2006 were selected through a systematic sampling method. After excluding the purely descriptive and theoretical articles, analytic studies were evaluated for their use of NHST with P-values and/or CI for interpretation of statistical "significance" and "relevance" in study conclusions.ResultsAmong 1,043 original papers, 874 were selected for detailed review. The exclusive use of P-values was less frequent in English language publications as well as in Public Health journals; overall such use decreased from 41% in 1995-1996 to 21% in 2005-2006. While the use of CI increased over time, the "significance fallacy" (to equate statistical and substantive significance) appeared very often, mainly in journals devoted to clinical specialties (81%). In papers originally written in English and Spanish, 15% and 10%, respectively, mentioned statistical significance in their conclusions.ConclusionsOverall, results of our review show some improvements in statistical management of statistical results, but further efforts by scholars and journal editors are clearly required to move the communication toward ICMJE advices, especially in the clinical setting, which seems to be imperative among publications in Spanish.
机译:背景零假设显着性检验(NHST)是最常用的统计方法,尽管自推出以来,其推论有效性一直受到广泛批评。 1988年,国际医学杂志编辑委员会(ICMJE)警告不要完全依赖NHST来证实研究结论,并建议补充使用置信区间(CI)。我们的目标是,根据国际医学杂志编辑委员会的建议,评估1995年至2006年间英语和西班牙语生物医学出版物中NHST和CI的使用范围和质量,并特别关注该指南的准确性。方法本研究考虑了在三个领域(普通医学,临床专业和流行病学-公共卫生)上发表在三种英语和三种西班牙生物医学期刊上的原创文章。通过系统抽样方法选择1995-1996年,2000-2001年和2005-2006年发表的论文。在排除纯描述性和理论性文章之后,对分析研究对具有P值和/或CI的NHST的使用进行了评估,以解释研究结论中的统计“显着性”和“相关性”。结果在1,043篇原始论文中,选择了874篇详细审查。在英语出版物和公共卫生杂志中,P值的独占使用较少。总体此类使用从1995-1996年的41%下降到2005-2006年的21%。尽管CI的使用随着时间的推移而增加,但“显着谬误”(等同于统计和实质意义)却经常出现,主要出现在致力于临床专业的期刊中(81%)。在最初用英文和西班牙文撰写的论文中,分别有15%和10%的结论提到了统计意义。结论总体而言,我们的审查结果显示了对统计结果的统计管理的一些改进,但是学者和期刊编辑的进一步努力显然要求将交流转为使用ICMJE建议,尤其是在临床环境中,这似乎是西班牙语出版物中必不可少的。

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