关于统计分析和研究方法的意见和建议

S. Voidăzan, C. Moldovan, M. Dobreanu
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引用次数: 1

摘要

统计方法的不当使用可能与不正确的结果相关,可能导致错误的临床实践,这有时可能对患者不利。假阳性结果将阻碍用于恢复真相的未来研究的实施,最终难以证明其合理性。另一方面,假阴性结果可能会刺激不必要的研究和资源的浪费。问题在于确定什么是好的,什么是坏的,什么是崇高的,什么是平庸的,什么是可能的,什么是不可能的。这就是统计学介入的地方;如果严格应用,它可以得到所研究效应发生概率的精确值。《罗马尼亚实验室医学评论》使用一种工作机制来监测提交给编辑部的科学文章的统计准确性[1]。统计分析方法的选择取决于研究的目的和目标、所追求的变量的类型以及可能进行的比较。一个好的统计分析应该提供给审稿人第一次验证的机会,以决定是否使用最好的统计软件,是否使用最好的统计测试,以免误导读者。在许多从统计学角度进行评价的论文中发现了这样的情况,即没有提到统计处理中应用的统计软件和统计检验,或者没有提及解释推理统计结果所参照的统计显著性阈值。通常,在统计学中选择统计学显著性阈值0.05,这意味着决定5/100机会的风险以拒绝零假设,即使它是真的。《罗马尼亚检验医学评论》(The Romanian Review of Laboratory Medicine)中描述该杂志政策和作者指示的部分包含了对研究数据进行统计分析时必须严格遵守的方面[2-4]。提交的论文要发表,必须在论文中注明
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Suggestions and Recommendations on Statistical Analysis and Research Methodology
An inappropriate use of statistical methods may be associated with incorrect results, capable of leading to erroneous clinical practices, which can sometimes be a disadvantage for patients. False positive results will hinder the implemen-tation of future studies that are used to restore the truth, ending up being difficult to be justified. On the other hand, false negative results may stimulate unnecessary research studies and a waste of resources. The problem is to determine what is good and what is bad, what is lofty and what is mediocre, what is probable and what is improbable. This is where statistics intervenes; if rigorously applied, it yields a precise value to the probability of occurrence of the studied effect.The Romanian Review of Laboratory Med-icine uses a working mechanism to monitor the statistical accuracy of scientific articles submit-ted to the editorial office [1]. Choosing the method of statistical analysis depends on the purpose and objectives of the study, the types of pursued variables and com-parisons that are likely to be made. A well con-ducted statistical analysis should provide the op -portunity to be firstly verified by reviewers, in order to decide whether the best statistical soft-ware respectively the best statistical tests were decided upon so as not to mislead the reader.There are situations identified in many pa-pers evaluated from a statistical point of view, when the statistical software and the statistical tests applied in statistical processing are not mentioned, or there is no reference concerning the threshold of statistical significance compared to which the results of inferential statistics are interpreted. Usually, in statistics the statistical significance threshold of 0.05 is chosen, which means that a risk of 5/100 chances was decided in order to reject the null hypothesis, even if it is true. The section from The Romanian Review of Laboratory Medicine that describes the policies of the journal and the instructions for authors contains aspects that must be observed strictly by the statistical analyses of data in studies [2-4].For submitted papers to be published, it is compulsory to mention in the
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