Data description for continuous parameters is sometimes only based on means and standard deviations of measurement series, graphical representation only concentrates on corresponding "MSE plots", which provide means and standard deviations or even only mean squared errors. However, this strategy is only correct for normally distributed data. Outliers may seriously bias mean and standard deviations and may therefore lead to wrong clinical conclusions. The present paper suggests the use of medians and quartiles, which - just like their graphical pendant, the nonparametric "box whisker plot" - can be applied much more flexibly.

译文

连续参数的数据描述有时仅基于测量序列的均值和标准差,图形表示仅集中在相应的 “MSE图” 上,后者提供均值和标准差,甚至仅提供均方误差。但是,此策略仅适用于正态分布的数据。异常值可能会严重偏差均值和标准差,因此可能导致错误的临床结论。本文建议使用中位数和四分位数,就像它们的图形吊坠一样,非参数的 “盒须图” 可以更灵活地应用。

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