3 citations · 3 across the 5 of their papers we have counts for
6 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 (…
Assessing the Impact of Model Assumptions in Network Meta-Regression: A Simulation Study
Nana-adjoa Kwarteng, Guido Schwarzer, Adriani Nikolakopoulou +1
Network meta-regression (NMR) extends network meta-analysis (NMA) by synthesizing evidence on multiple treatments while adjusting for potential effect modifiers. By accounting for…
Precision of Treatment Hierarchy: A Metric for Quantifying Certainty in Treatment Hierarchies from Network Meta-Analysis
Augustine Wigle, Audrey Béliveau, Georgia Salanti +4
Network meta-analysis (NMA) is an extension of pairwise meta-analysis which facilitates the estimation of relative effects for multiple competing treatments. A hierarchy of treatme…
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…
Shortest path or random walks? A framework for path weights in network meta-analysis
Gerta Rücker, Theodoros Papakonstantinou, Adriani Nikolakopoulou +3
Quantifying the contributions, or weights, of comparisons or single studies to the estimates in a network meta-analysis (NMA) is an active area of research. We extend this to the c…
Model selection for component network meta-analysis in connected and disconnected networks: a simulation study
Maria Petropoulou, Gerta Rücker, Stephanie Weibel +2
Network meta-analysis (NMA) is widely used in evidence synthesis to estimate the effects of several competing interventions for a given clinical condition. One of the challenges is…