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Meta-analysis models relaxing the random effects normality assumption: methodological systematic review and simulation study
Kanella Panagiotopoulou, Theodoros Evrenoglou, Christopher H Schmid +2
Random effects meta-analysis is widely used for synthesizing studies under the assumption that underlying effects come from a normal distribution. However, under certain conditions…
Sharing information across patient subgroups to draw conclusions from sparse treatment networks
Theodoros Evrenoglou, Silvia Metelli, Johannes-Schneider Thomas +4
Network meta-analysis (NMA) usually provides estimates of the relative effects with the highest possible precision. However, sparse networks with few available studies and limited…
Bayesian model-based outlier detection in network meta-analysis
Silvia Metelli, Dimitris Mavridis, Perrine Créquit +1
In a network meta-analysis, some of the collected studies may deviate markedly from the others, for example having very unusual effect sizes. These deviating studies can be regarde…