Compositional data analysis in epidemiology.

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  • Additional Information
    • Source:
      Publisher: SAGE Publications Country of Publication: England NLM ID: 9212457 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1477-0334 (Electronic) Linking ISSN: 09622802 NLM ISO Abbreviation: Stat Methods Med Res Subsets: MEDLINE
    • Publication Information:
      Publication: London : SAGE Publications
      Original Publication: Sevenoaks, Kent, UK : Edward Arnold, c1992-
    • Subject Terms:
      Data Analysis* ; Epidemiologic Studies*; Algorithms ; Austria ; Confounding Factors, Epidemiologic ; Data Interpretation, Statistical ; Multivariate Analysis
    • Abstract:
      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.
    • Contributed Indexing:
      Keywords: Euclidean geometry; Log-ratio approach; compositional data; isometric log-ratio coordinates; multivariate statistics
    • Publication Date:
      Date Created: 20180517 Date Completed: 20191105 Latest Revision: 20191210
    • Publication Date:
      20221213
    • Accession Number:
      10.1177/0962280216671536
    • Accession Number:
      29767591