Nagata O
Department of Anesthesia, Tokyo Metropolitan Neurological Hospital, Fuchu.
Masui. 1996 Sep;45(9):1115-22.
When conducting studies, it is important to summarize the gathered data before beginning calculations for statistical analysis. If the methods used to summarize the data are inadequate for purposes of the analysis you want to perform, many misleading or unreasonable discussions that are normally avoidable arise. If there is any uncertainty in the way data are handled, for example, confusion as to whether comparison of mean (parametric analysis) or comparison of median (nonparametric analysis) is used, or whether the data are paired or unpaired, it is impossible to make good charts that show us the features of the data at a glance. In this article, I will address several frequently asked questions about summarizing data, and discuss making suitable charts by presenting a typical example.
在进行研究时，在开始进行统计分析计算之前总结收集到的数据非常重要。如果用于总结数据的方法不足以满足你想要进行的分析目的，就会出现许多通常可以避免的误导性或不合理的讨论。例如，如果在处理数据的方式上存在任何不确定性，比如对于使用均值比较（参数分析）还是中位数比较（非参数分析）存在困惑，或者数据是配对的还是非配对的，就不可能制作出能让我们一眼看出数据特征的好图表。在本文中，我将回答几个关于总结数据的常见问题，并通过给出一个典型例子来讨论制作合适的图表。
