Compositional data analysis in epidemiology
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 anal...
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| Veröffentlicht in: | Statistical methods in medical research 2018-06, Vol.27 (6), p.1878-1891 |
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| container_title | Statistical methods in medical research |
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| creator | Mert, Mehmet C Filzmoser, Peter Endel, Gottfried Wilbacher, Ingrid |
| description | 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. |
| doi_str_mv | 10.1177/0962280216671536 |
| format | Article |
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| ispartof | Statistical methods in medical research, 2018-06, Vol.27 (6), p.1878-1891 |
| issn | 0962-2802 1477-0334 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_2039871315 |
| source | Applied Social Sciences Index & Abstracts (ASSIA); SAGE Complete |
| subjects | Analysis Data analysis Epidemiology Statistical analysis |
| title | Compositional data analysis in epidemiology |
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