74 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of BernCH6 papers
- University of YorkGB3 papers
- University of ZurichCH3 papers
- Kyoto UniversityJP2 papers
- Laboratory for Biomedical NeurosciencesCH2 papers
- Università della Svizzera italianaCH2 papers
- University Hospital of BaselCH2 papers
- University of BaselCH2 papers
- University of OxfordGB2 papers
- ActuaCA1 paper
- Aristotle University of ThessalonikiGR1 paper
- Department of Biomedicine BaselCH1 paper
6 papers · 1 filter
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…
Synthesizing cross-design evidence and cross-format data using network meta-regression
Tasnim Hamza, Konstantina Chalkou, Fabio Pellegrini +9
In network meta-analysis (NMA), we synthesize all relevant evidence about health outcomes with competing treatments. The evidence may come from randomized controlled trials (RCT) o…
Decision curve analysis for personalized treatment choice between multiple options
Konstantina Chalkou, Andrew J. Vickers, Fabio Pellegrini +2
Decision curve analysis can be used to determine whether a personalized model for treatment benefit would lead to better clinical decisions. Decision curve analysis methods have be…
A dose-effect network meta-analysis model: an application in antidepressants
Tasnim Hamza, Toshi A. Furukawa, Nicola Orsini +3
Network meta-analysis (NMA) has been used to answer a range of clinical questions about the preferable intervention for a given condition. Although the effectiveness and safety of…
Bayesian analysis of measurement error models using INLA
Stefanie Muff, Andrea Riebler, Havard Rue +2
To account for measurement error (ME) in explanatory variables, Bayesian approaches provide a flexible framework, as expert knowledge about unobserved covariates can be incorporate…
Hyper-g Priors for Generalized Linear Models
Daniel Sabanés Bové, Leonhard Held
We develop an extension of the classical Zellner's g-prior to generalized linear models. The prior on the hyperparameter g is handled in a flexible way, so that any continuous prop…