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NMA (version 1.4-2)

Network Meta-Analysis Based on Multivariate Meta-Analysis Models

Description

Network meta-analysis tools based on contrast-based approach using the multivariate meta-analysis and meta-regression models (Noma et al. (2023) ). 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) ) are adopted as the default methods.

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Version

Install

install.packages('NMA')

Monthly Downloads

539

Version

1.4-2

License

GPL-3

Maintainer

Hisashi Noma

Last Published

February 18th, 2024

Functions in NMA (1.4-2)

setup

Transforming arm-level data to contrast-based summary statistics and making objects for network meta-analysis
nmafunnel

Comparison-adjusted funnel plot
obj.forest

Numerical objects of ranked forest plot for the synthesis results of network meta-analysis
sidesplit

Sidesplitting for quantifying direct and indirect evidence for all possible treatment pairs and the inconsistency test
nmareg

Network meta-regression based on contrast-based approach
nmaleague

Generating a league table
smoking

Smoking cessation data
NMA-package

The 'NMA' package.
antidiabetic

Phung et al. (2010)'s network meta-analysis data
rdc

Rounding a numerical value
nmarank

Calculating ranking statistics of network meta-analysis
nmaforest

Generating a ranked forest plot for the synthesis results of network meta-analysis
nmaQ

Multivariate Q-statistic and its factorization
diabetes

Elliott and Mayer (2007)'s network meta-analysis data
local.ict

Local inconsistency tests for all closed loops on the network
heartfailure

Sciarretta et al. (2011)'s network meta-analysis data
global.ict

Higgins' global inconsistency test
nmaweight

Evaluating study weights and contribution matrix
transitivity

Checking transitivity
nma

Network meta-analysis based on contrast-based approach using the multivariate meta-analysis model
netplot

Generating a networkplot
pairwise

Pairwise meta-analyses for all treatment pairs with direct comparisons on the network
random.icm

Jackson's random inconsistency model