53 citations · 89 across the 5 of their papers we have counts for
6 papers
Multiple imputation of incomplete multilevel data using Heckman selection models
Johanna Muñoz, Matthias Egger, Orestis Efthimiou +3
Missing data is a common problem in medical research, and is commonly addressed using multiple imputation. Although traditional imputation methods allow for valid statistical infer…
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…
Rethinking the Funding Line at the Swiss National Science Foundation: Bayesian Ranking and Lottery
Rachel Heyard, Manuela Ott, Georgia Salanti +1
Funding agencies rely on peer review and expert panels to select the research deserving funding. Peer review has limitations, including bias against risky proposals or interdiscipl…
Introducing the treatment hierarchy question in network meta-analysis
Georgia Salanti, Adriani Nikolakopoulou, Orestis Efthimou +3
Background: Comparative effectiveness research using network meta-analysis can present a hierarchy of competing treatments, from the least to most preferable option. However, the r…
A Bayesian dose-response meta-analysis model: simulation study and application
Tasnim Hamza, Andrea Cipriani, Toshi A. Furukawa +3
Dose-response models express the effect of different dose or exposure levels on a specific outcome. In meta-analysis, where aggregated-level data is available, dose-response eviden…
A two-stage prediction model for heterogeneous effects of many treatment options: application to drugs for Multiple Sclerosis
Konstantina Chalkou, Ewout Steyerberg, Matthias Egger +3
Treatment effects vary across different patients and estimation of this variability is important for clinical decisions. The aim is to develop a model to estimate the benefit of al…