Seriously Misleading Results Using Inverse of Freeman-Tukey Double Arcsine Transformation in Meta-Analysis of Single Proportions
In: Research Synthesis Methods, Jg. 10 (2019-09-01), Heft 3, S. 476-483
Online
academicJournal
Zugriff:
Standard generic inverse variance methods for the combination of single proportions are based on transformed proportions using the logit, arcsine, and Freeman-Tukey double arcsine transformations. Generalized linear mixed models are another more elaborate approach. Irrespective of the approach, meta-analysis results are typically back-transformed to the original scale in order to ease interpretation. Whereas the back-transformation of meta-analysis results is straightforward for most transformations, this is not the case for the Freeman-Tukey double arcsine transformation, albeit possible. In this case study with five studies, we demonstrate how seriously misleading the back-transformation of the Freeman-Tukey double arcsine transformation can be. We conclude that this transformation should only be used with special caution for the meta-analysis of single proportions due to potential problems with the back-transformation. Generalized linear mixed models seem to be a promising alternative.
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Seriously Misleading Results Using Inverse of Freeman-Tukey Double Arcsine Transformation in Meta-Analysis of Single Proportions
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Autor/in / Beteiligte Person: | Schwarzer, Guido ; Chemaitelly, Hiam ; Abu-Raddad, Laith J. ; Rücker, Gerta |
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Zeitschrift: | Research Synthesis Methods, Jg. 10 (2019-09-01), Heft 3, S. 476-483 |
Veröffentlichung: | 2019 |
Medientyp: | academicJournal |
ISSN: | 1759-2879 (print) |
DOI: | 10.1002/jrsm.1348 |
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