Nagata O
Department of Anesthesiology, Faculty of Medicine, University of Tokyo.
Masui. 1996 Oct;45(10):1235-9.
When conducting statistical analysis, it is essential to use parametric and nonparametric analyses which properly accord with the attributions of data. What is often overlooked, however, is the need to select the most suitable method of spatistical analysis for the model of the studies. Parametric analysis certainly cannot be relied upon in all situations to yield the best resolutions, and even if we strictly distinguish between the use of parametric and that of nonparametric analyses, we still have done nothing to improve the resolutions themselves. In this article, I discuss several frequently asked questions by presenting an example in which I use parametric analysis on data that should be analyzed by nonparametric analysis.
在进行统计分析时，使用与数据属性适当相符的参数分析和非参数分析至关重要。然而，经常被忽视的是，需要为研究模型选择最合适的统计分析方法。参数分析当然不能在所有情况下都依赖于产生最佳分辨率，而且即使我们严格区分参数分析和非参数分析的使用，我们仍然没有采取任何措施来提高分辨率本身。在本文中，我通过给出一个例子来讨论几个常见问题，在这个例子中，我对应该用非参数分析的数据使用了参数分析。
