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Network Meta-analysis

2018
Meta-analyses of randomized controlled trials have been used for several years to combine data from clinical trials and generate estimates of treatment effect associated with a therapeutic intervention in relation to a comparator. In recent years, there has been an added emphasis on comparative effectiveness research since decision makers are often ...
Joseph C. Cappelleri, William L. Baker
openaire   +1 more source

Network meta-analysis: an introduction for pharmacists

International Journal of Clinical Pharmacy, 2018
Network meta-analysis is a new tool used to summarize and compare studies for multiple interventions, irrespective of whether these interventions have been directly evaluated against each other. Network meta-analysis is quickly becoming the standard in conducting therapeutic reviews and clinical guideline development.
Yina, Xu   +2 more
openaire   +2 more sources

Deconstructing the Network Meta-analysis

Annals of Emergency Medicine, 2020
Lauren M, Westafer, David L, Schriger
openaire   +2 more sources

Network meta-analysis for diagnostic tests

BMJ Evidence-Based Medicine, 2019
Network meta-analysis (NMA) has enabled the comparison of numerous interventions in the absence of direct head-to-head randomised controlled trials. A new technique describes NMA for diagnostic tests, an approach that can facilitate a similar comparison between different diagnostic tests at different diagnostic thresholds.
openaire   +2 more sources

The development of network meta-analysis

Journal of the Royal Society of Medicine, 2022
openaire   +2 more sources

GRADE guidelines 33: Addressing imprecision in a network meta-analysis

Journal of Clinical Epidemiology, 2021
Romina Brignardello-Petersen   +2 more
exaly  

Using Normalized Entropy to Measure Uncertainty of Rankings for Network Meta-analyses

Medical Decision Making, 2021
Yun-Chun Wu   +2 more
exaly  

A Gentle Introduction to Bayesian Network Meta-Analysis Using an Automated R Package

Multivariate Behavioral Research, 2023
Yan Liu, Audrey Beliveau, Yaguang Wei
exaly  

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