41 citations · 42 across the 6 of their papers we have counts for
7 papers
Identifying compromise solutions across multiple treatment benefit-harm profiles in multivariate network meta-analysis
Theodoros Evrenoglou, Theodoros Evrenogou, Anna Chaimani +2
Health technology assessment often aims to balance evidence across multiple treatments and outcomes and assess treatment benefit-harm profiles. Multivariate network meta-analysis (…
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…
Producing treatment hierarchies in network meta-analysis using probabilistic models and treatment-choice criteria
Theodoros Evrenoglou, Adriani Nikolakopoulou, Guido Schwarzer +2
A key output of network meta-analysis (NMA) is the relative ranking of treatments; nevertheless, it has attracted substantial criticism. Existing ranking methods often lack clear i…
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…
Network meta-analysis of rare events using penalized likelihood regression
Theodoros Evrenoglou, Ian White, Sivem Afach +2
Network meta-analysis (NMA) of rare events has attracted little attention in the literature. Until recently, networks of interventions with rare events were analyzed using the inve…
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…
A novel approach for identifying and addressing case-mix heterogeneity in individual participant data meta-analysis
Tat-Thang Vo, Raphael Porcher, Anna Chaimani +1
Case-mix heterogeneity across studies complicates meta-analyses. As a result of this, treatments that are equally effective on patient subgroups may appear to have different effect…