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02/28/2023
Combining randomized and non-randomized data to predict heterogeneous effects of competing treatments
Some patients benefit from a treatment while others may do so less or do...
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03/12/2022
Synthesizing cross-design evidence and cross-format data using network meta-regression
In network meta-analysis (NMA), we synthesize all relevant evidence abou...
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02/04/2022
Decision curve analysis for personalized treatment choice between multiple options
Decision curve analysis can be used to determine whether a personalized ...
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05/14/2021
Development, validation and clinical usefulness of a prognostic model for relapse in relapsing-remitting multiple sclerosis
Prognosis on the occurrence of relapses in individuals with Relapsing-Re...
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04/12/2021
A dose-effect network meta-analysis model: an application in antidepressants
Network meta-analysis (NMA) has been used to answer a range of clinical ...
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02/19/2021
Rethinking the Funding Line at the Swiss National Science Foundation: Bayesian Ranking and Lottery
Funding agencies rely on peer review and expert panels to select the res...
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10/20/2020
Introducing the treatment hierarchy question in network meta-analysis
Background: Comparative effectiveness research using network meta-analys...
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04/28/2020
A two-stage prediction model for heterogeneous effects of many treatment options: application to drugs for Multiple Sclerosis
Treatment effects vary across different patients and estimation of this ...
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04/27/2020
A Bayesian dose-response meta-analysis model: simulation study and application
Dose-response models express the effect of different dose or exposure le...
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05/24/2018