Kusuoka Hideo, Hoffman Julien I E
Institute for Clinical Research, Osaka National Hospital, Osaka, Japan.
Circ Res. 2002 Oct 18;91(8):662-71. doi: 10.1161/01.res.0000037427.73184.c1.
Since the late 1970s when many journals published articles warning about the misuse of statistical methods in the analysis of data, researchers have become more careful about statistical analysis, but errors including low statistical power and inadequate analysis of repeated-measurement studies are still prevalent. In this review, several statistical methods are introduced that are not always familiar to basic and clinical cardiologists but may be useful for revealing the correct answer from the data. The aim of this review is not only to draw the attention of investigators to these tests but also to stress the conditions in which they are applicable. These methods are now generally available in statistical program packages. Researchers need not know how to calculate the statistics from the data but are required to select the correct method from the menu and interpret the statistical results accurately. With the choice of appropriate statistical programs, the issue is no longer how to do the test but when to do it.
自20世纪70年代末以来,许多期刊发表文章警告在数据分析中滥用统计方法的问题,研究人员在统计分析方面变得更加谨慎,但包括统计功效低和重复测量研究分析不足在内的错误仍然普遍存在。在这篇综述中,介绍了几种基本和临床心脏病专家并不总是熟悉的统计方法,但这些方法可能有助于从数据中揭示正确答案。这篇综述的目的不仅是引起研究人员对这些检验的关注,还强调它们适用的条件。这些方法现在通常可以在统计程序包中找到。研究人员无需知道如何从数据中计算统计量,但需要从菜单中选择正确的方法并准确解释统计结果。选择合适的统计程序后,问题不再是如何进行检验,而是何时进行检验。