NMA: Network Meta-Analysis Based on Multivariate Meta-Analysis Models

Network meta-analysis tools based on contrast-based approach using the multivariate meta-analysis and meta-regression models (Noma et al. (2023) <Forthcoming>). Standard analysis tools for network meta-analysis and meta-regression (e.g., synthesis analysis, ranking analysis, and creating league table) are available by simple commands. For inconsistency analyses, the local and global inconsistency tests based on the Higgins' design-by-treatment interaction model can be applied. Also, the side-splitting and the Jackson's random inconsistency model are available. Standard graphical tools for network meta-analysis (e.g., network plot, ranked forest plot, and transitivity analysis) can also be utilized. For the synthesis analyses, the Noma-Hamura's improved REML (restricted maximum likelihood)-based methods (Noma et al. (2023) <doi:10.1002/jrsm.1652> <doi:10.1002/jrsm.1651>) are adopted as the default methods.

Package details

AuthorHisashi Noma [aut, cre] (<https://orcid.org/0000-0002-2520-9949>), Kazushi Maruo [aut], Shiro Tanaka [aut], Toshi A. Furukawa [aut]
MaintainerHisashi Noma <noma@ism.ac.jp>
LicenseGPL-3
Version1.4-3
URL https://www.ism.ac.jp/~noma/file/software/NMA.r
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("NMA")

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NMA documentation built on May 29, 2024, 2:58 a.m.