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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
mathematics
A model for meta-analysis of correlated binary outcomes: The case of split-body interventions
Statistical Methods in Medical Research, Volume 28, No. 7, Year 2019
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Description
In several areas of clinical research, it is common for trials to assign different sites of the participants’ bodies to different interventions. For example, a randomized controlled trial comparing surgical techniques for correcting myopia may randomize each eye of a participant to a different operation. Under such bilateral (‘split-body’) interventions, the observations from each participant are correlated. It is challenging to account for these correlations at the meta-analysis level, especially when the outcome is rare. Here, we present a meta-analysis model based on the bivariate binomial distribution. Our model can synthesize studies on patients who received one intervention at one body site, patients who received two interventions at different sites or a mixture of these two groups. The model can analyse studies with zero events in one or both treatment arms and can handle the case of incomplete data reporting. We use simulations to assess the performance of our model and to compare it with the bivariate beta-binomial model. In the case of bilateral interventions, our model performed well and outperformed the bivariate beta-binomial model in all scenarios explored. We illustrate our methods using two previously published meta-analyses from the fields of orthopaedics and ophthalmology. We conclude that our model constitutes a useful new tool for the meta-analysis of binary outcomes in the presence of split-body interventions. © The Author(s) 2017.
Authors & Co-Authors
Efthimiou, Orestis
Switzerland, Bern
University of Bern
Mavridis, Dimitrios
Greece, Ioannina
University of Ioannina
France, Paris
Inserm
Nikolakopoulou, Adriani
Switzerland, Bern
University of Bern
Rücker, Gerta
Germany, Freiburg Im Breisgau
Universität Freiburg
Trelle, Sven
Switzerland, Bern
University of Bern
Egger, Matthias
Switzerland, Bern
University of Bern
Salanti, Georgia
Switzerland, Bern
University of Bern
Statistics
Citations: 8
Authors: 7
Affiliations: 4
Identifiers
Doi:
10.1177/0962280217746436
ISSN:
09622802
Research Areas
Health System And Policy
Study Design
Randomised Control Trial
Study Approach
Quantitative
Systematic review