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multinma: Bayesian Network Meta-Analysis of Individual and Aggregate Data

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 02 Mar 2022Publisher:Zenodo
Authors: Phillippo, David M.;

doi: 10.5281/zenodo.10784910 , 10.5281/zenodo.6323335 , 10.5281/zenodo.10562095 , 10.5281/zenodo.11578278 , 10.5281/zenodo.7966190 , 10.5281/zenodo.15088713 , 10.5281/zenodo.11127707 , 10.5281/zenodo.7033094 , 10.5281/zenodo.13768502 , 10.5281/zenodo.3904454 , 10.5281/zenodo.15561221

multinma: Bayesian Network Meta-Analysis of Individual and Aggregate Data

Abstract

Network meta-analysis and network meta-regression models for aggregate data, individual patient data, and mixtures of both individual and aggregate data using multilevel network meta-regression as described by Phillippo et al. (2020) . Models are estimated in a Bayesian framework using 'Stan'.

To cite package "multinma" in publications use:

Keywords

r-package, statistics, r-stats, r

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download
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
7
Top 10%
Average
Top 10%
173
8