5 papers · 1 filter
Creating treatment and component hierarchies in component network meta-analysis
Augustine Wigle, Audrey Béliveau, Adriani Nikolakopoulou +1
Component network meta-analysis (CNMA) is a statistical methodology that enables estimation of relative effects for multi-component treatments, such as combinations of antidepressa…
Doubly-Robust Bayesian Estimation of Optimal Individualized Treatment Rules using Network Meta-Analysis
Augustine Wigle, Erica E. M. Moodie
An optimal individualized treatment rule (ITR) is a function that takes a patient's characteristics, such as demographics, biomarkers, and treatment history, and outputs a treatmen…
Personalized Treatment Hierarchies in Bayesian Network Meta-Analysis
Augustine Wigle, Erica E. M. Moodie
Network Meta-Analysis (NMA) is an increasingly popular evidence synthesis tool that can provide a ranking of competing treatments, also known as a treatment hierarchy. Treatment-Co…
Bayesian unanchored additive models for component network meta-analysis
Augustine Wigle, Audrey Béliveau
Component network meta-analysis (CNMA) models are an extension of standard network meta-analysis (NMA) models which account for the use of multicomponent treatments in the network.…
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…