output
20062025
most citedHyper-g Priors for Generalized Linear Models

74 citations

9 papers

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.ME2022★ 27 cited

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…

stat.ME2022★ 40 cited

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…

stat.AP2021★ 2 cited

Development, validation and clinical usefulness of a prognostic model for relapse in relapsing-remitting multiple sclerosis

Konstantina Chalkou, Ewout Steyerberg, Patrick Bossuyt +7

Prognosis on the occurrence of relapses in individuals with Relapsing-Remitting Multiple Sclerosis (RRMS), the most common subtype of Multiple Sclerosis (MS), could support individ…

stat.ME2021★ 22 cited

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…

q-bio.PE2020★ 43 cited

The approximately universal shapes of epidemic curves in the Susceptible-Exposed-Infectious-Recovered (SEIR) model

Kevin Heng, Christian L. Althaus

Compartmental transmission models have become an invaluable tool to study the dynamics of infectious diseases. The Susceptible-Infectious-Recovered (SIR) model is known to have an…

stat.ME2013★ 4 cited

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…

stat.ME2010★ 74 cited

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…

math.ST2006★ 18 cited

Smooth tail index estimation

Samuel Müller, Kaspar Rufibach

Both parametric distribution functions appearing in extreme value theory - the generalized extreme value distribution and the generalized Pareto distribution - have log-concave den…