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20222026
most citedPrecision of Treatment Hierarchy: A Metric for Quantifying Certainty in Treatment Hierarchies from Network Meta-Analysis

3 citations · 3 across the 5 of their papers we have counts for

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stat.ME2026

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 (…

stat.ME2026

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…

stat.ME2025★ 3 cited

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…

stat.ME2024

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…

stat.ME2022

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…