2019
DOI: 10.4178/epih.e2019013
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Network meta-analysis: application and practice using R software

Abstract: The objective of this study is to describe the general approaches to network meta-analysis that are available for quantitative data synthesis using R software. We conducted a network meta-analysis using two approaches: Bayesian and frequentist methods. The corresponding R packages were “gemtc” for the Bayesian approach and “netmeta” for the frequentist approach. In estimating a network meta-analysis model using a Bayesian framework, the “rjags” package is a common tool. “rjags” implements Markov chain Monte Ca… Show more

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Cited by 239 publications
(211 citation statements)
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“…The p-value < 0.05 was considered as statistically meaningful. Network meta-analysis was performed using the netmeta R package [14].…”
Section: Discussionmentioning
confidence: 99%
“…The p-value < 0.05 was considered as statistically meaningful. Network meta-analysis was performed using the netmeta R package [14].…”
Section: Discussionmentioning
confidence: 99%
“…NMA was done by the Bayesian approach using a random-effects model with Markov chain Monte Carlo simulation with vague priors (GEMTC, BUGSnet) using the R-software (Version-R 3.6.2). 17,18 Generalized linear models with four chains, burn-in of 50 000 iterations followed by 100 000 iterations with 10 000 adaptations were used. 18 The geometry of the networks was assessed using network plots with the size of the nodes being proportional to the number of subjects included in the intervention and the thickness of the arms connecting the different intervention nodes corresponding to the number of studies included in the comparison.…”
Section: Data Synthesismentioning
confidence: 99%
“…Users, more familiar with the software R, can use this package instead of the BUGS software. For a guide to the practical application of gemtc as well as netmeta see also [50].…”
Section: Discussionmentioning
confidence: 99%