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首页> 外文期刊>Psychosomatic Medicine: Journal of the American Psychosomatic Society >Analysis of variance is easily misapplied in the analysis of randomized trials: a critique and discussion of alternative statistical approaches.
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Analysis of variance is easily misapplied in the analysis of randomized trials: a critique and discussion of alternative statistical approaches.

机译：方差分析很容易被误用于随机试验的分析：对替代统计方法的批评和讨论。

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摘要

Analysis of variance (ANOVA) is a statistical method that is widely used in the psychosomatic literature to analyze the results of randomized trials, yet ANOVA does not provide an estimate for the difference between groups, the key variable of interest in a randomized trial. Although the use of ANOVA is frequently justified on the grounds that a trial incorporates more than two groups, the hypothesis tested by ANOVA for these trials--"Are all groups equivalent?"--is often scientifically uninteresting. Regression methods are not only applicable to trials with many groups, but can be designed to address specific questions arising from the study design. ANOVA is also frequently used for trials with repeated measures, but the consequent reporting of "group effects," "time effects," and "time-by-group interactions" is a distraction from statistics of clinical and scientific value. Given that ANOVA is easily misapplied in the analysis of randomized trials, alternative approaches such as regression methods should be considered in preference.
机译：方差分析（ANOVA）是一种统计方法，在心身文献中广泛用于分析随机试验的结果，但是ANOVA并未提供组之间差异的估计值，而随机试验中的关键变量是组间差异。尽管经常使用ANOVA来证明一个试验包含两个以上的组是合理的，但是ANOVA为这些试验检验的假设-“所有组都相等吗？”在科学上通常没有意义。回归方法不仅适用于许多组的试验，还可以设计为解决研究设计中出现的特定问题。方差分析也经常用于重复测量的试验，但是随后报告的“组效应”，“时间效应”和“组间相互作用”却分散了临床和科学价值的统计数据。鉴于方差分析很容易被误用于随机试验的分析中，因此应优先考虑诸如回归方法之类的替代方法。

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