Investigating the Heterogeneity of “Study Twins”
Meta-analyses are commonly performed based on random-effects models, while in certain cases one might also argue in favor of a common-effect model. One such case may be given by the example of two "study twins" that are performed according to a common (or at least very similar) protocol. Here we investigate the particular case of meta-analysis of a pair of studies, for example, summarizing the results of two confirmatory clinical trials in phase III of a clinical development program. Thereby, we focus on the question of to what extent homogeneity or heterogeneity may be discernible and include an empirical investigation of published ("twin") pairs of studies. A pair of estimates from two studies only provide very little evidence of homogeneity or heterogeneity of effects, and ad hoc decision criteria may often be misleading.
Authors
- Christian Röver (ORCID: https://orcid.org/0000-0002-6911-698X)
- Tim Friede (ORCID: https://orcid.org/0000-0001-5347-7441)
Institutions
- Universitätsmedizin Göttingen (DE)
- German Centre for Cardiovascular Research (DE)
Publication Details
- Journal
- Biometrical Journal
- Published
- 2024-09-01
- DOI
- https://doi.org/10.1002/bimj.202300387
- Citations
- 2
- Primary Topic
- Meta-analysis and systematic reviews
- Type
- article
- Field-Weighted Citation Impact
- 0.92
Funders
- Deutsche Forschungsgemeinschaft