Department of Orthodontics, College of Dentistry, University of Florida, Gainesville, FL, USA.
Am J Orthod Dentofacial Orthop. 2013 Aug;144(2):315-8. doi: 10.1016/j.ajodo.2013.03.023.
Proper statistical analysis is an absolutely essential tool for both clinicians and researchers attempting to implement evidence-based decisions. When analyzing reliability, statistical graphic representation is the best method. Other previously published error studies of 2-dimensional measurements, such as cephalometric landmarks, have inappropriately applied 1-dimensional approaches, such as linear or angular measurements. The aim of this article is to illustrate a graphic presentation method that can be applied to 2-dimensional data sets. We propose that this technique can show errors in both the x-axis and the y-axis simultaneously and should be used when reporting the reliability of a 2-dimensional data set. Our prediction error analysis of soft-tissue changes after orthognathic surgery will be presented as an example. By using different colors in each ellipse, this method can also identify any between-group differences.
正确的统计分析是临床医生和研究人员试图做出循证决策的绝对必要工具。在分析可靠性时，统计图形表示是最佳方法。其他以前发表的关于二维测量的误差研究，如头影测量标志点，不恰当地应用了一维方法，如线性或角度测量。本文的目的是说明一种可应用于二维数据集的图形表示方法。我们提出，这种技术可以同时显示 x 轴和 y 轴上的误差，并且在报告二维数据集的可靠性时应该使用这种技术。我们将对面部整形手术后软组织变化的预测误差分析作为一个例子进行介绍。通过在每个椭圆中使用不同的颜色，这种方法还可以识别任何组间差异。
