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Schwarzer, Guido; Efthimiou, Orestis; Rücker, Gerta – Research Synthesis Methods, 2021
The Peto odds ratio is a well-known effect measure in meta-analysis of binary outcomes. For pairwise comparisons, the Peto odds ratio estimator can be severely biased in the situation of unbalanced sample sizes in the two treatment groups or large treatment effects. In this publication, we evaluate Peto odds ratio estimators in the setting of…
Descriptors: Meta Analysis, Sample Size, Computation, Probability
Seo, Michael; Furukawa, Toshi A.; Karyotaki, Eirini; Efthimiou, Orestis – Research Synthesis Methods, 2023
Clinical prediction models are widely used in modern clinical practice. Such models are often developed using individual patient data (IPD) from a single study, but often there are IPD available from multiple studies. This allows using meta-analytical methods for developing prediction models, increasing power and precision. Different studies,…
Descriptors: Prediction, Models, Patients, Data Analysis
Seo, Michael; Furukawa, Toshi A.; Veroniki, Areti Angeliki; Pillinger, Toby; Tomlinson, Anneka; Salanti, Georgia; Cipriani, Andrea; Efthimiou, Orestis – Research Synthesis Methods, 2021
Network meta-analysis (NMA) can be used to compare multiple competing treatments for the same disease. In practice, usually a range of outcomes is of interest. As the number of outcomes increases, summarizing results from multiple NMAs becomes a nontrivial task, especially for larger networks. Moreover, NMAs provide results in terms of relative…
Descriptors: Networks, Network Analysis, Meta Analysis, Visualization