1 Institute of Statistics and Mathematical Methods in Economics, Vienna University of Technology, Vienna, Austria.
2 Main Association of Austrian Social Security Institutions, Vienna, Austria.
Stat Methods Med Res. 2018 Jun;27(6):1878-1891. doi: 10.1177/0962280216671536. Epub 2016 Oct 6.
Compositional data analysis refers to analyzing relative information, based on ratios between the variables in a data set. Data from epidemiology are usually treated as absolute information in an analysis. We outline the differences in both approaches for univariate and multivariate statistical analyses, using illustrative data sets from Austrian districts. Not only the results of the analyses can differ, but in particular the interpretation differs. It is demonstrated that the compositional data analysis approach leads to new and interesting insights.
成分数据分析是指基于数据集变量之间的比率来分析相对信息。流行病学数据通常在分析中被视为绝对信息。我们使用来自奥地利地区的说明性数据集，概述了这两种方法在单变量和多变量统计分析中的差异。不仅分析结果可能不同，而且特别是解释也不同。结果表明，成分数据分析方法可以提供新的有趣的见解。
