Network Meta-Analysis Using R: A Review of Currently Available Automated Packages

作者: Binod Neupane , Danielle Richer , Ashley Joel Bonner , Taddele Kibret , Joseph Beyene

DOI: 10.1371/JOURNAL.PONE.0115065

关键词: Software engineeringUsabilitySoftwareComputer scienceSet (abstract data type)Meta-analysisPackage development processMeta-Analysis as TopicInferenceProcess (engineering)Bioinformatics

摘要: Network meta-analysis (NMA) – a statistical technique that allows comparison of multiple treatments in the same simultaneously has become increasingly popular medical literature recent years. The methodology underpinning this and software tools for implementing methods are evolving. Both commercial freely available packages have been developed to facilitate computations using NMA with varying degrees functionality ease use. This paper aims introduce reader three R packages, namely, gemtc, pcnetmeta, netmeta, which implemented R. Each automates process performing so users can perform analysis minimal computational effort. We present, compare contrast availability different important features these clinical investigators researchers determine implement depending on their needs. Four summary tables detailing (i) data input network plotting, (ii) modeling options, (iii) assumption checking diagnostic testing, (iv) inference reporting tools, provided, along an previously published dataset illustrate outputs from each package. demonstrate provides useful set combined provide nearly all might be desired when conducting NMA.

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