Learn R Programming

gemtc (version 1.0-2)

Network Meta-Analysis Using Bayesian Methods

Description

Network meta-analyses (mixed treatment comparisons) in the Bayesian framework using JAGS. Includes methods to assess heterogeneity and inconsistency, and a number of standard visualizations. van Valkenhoef et al. (2012) ; van Valkenhoef et al. (2015) .

Copy Link

Version

Install

install.packages('gemtc')

Monthly Downloads

2,269

Version

1.0-2

License

GPL-3

Issues

20

Pull Requests

2

Stars

45

Forks

27

Maintainer

Gert Valkenhoef

Last Published

June 21st, 2023

Functions in gemtc (1.0-2)

mtc.network

Create an mtc.network
mtc.model

Generate network meta-analysis models
mtc.nodesplit

Node-splitting analysis of inconsistency
mtc.hy.prior

Set priors for the heterogeneity parameter
plotCovariateEffect

Plot treatment effects versus covariate values
mtc.data.studyrow

Convert one-study-per-row datasets
mtc.deviance

Inspect residual deviance
parkinson

Mean off-time reduction in Parkinson's disease
mtc.run

Running an mtc.model using an MCMC sampler
relative.effect.table

Table of relative effects
relative.effect

Calculating relative effects
rank.probability

Calculating rank-probabilities
thrombolytic

Thrombolytic treatment after acute myocardial infarction
smoking

Psychological treatments to aid smoking cessation
ll.call

Call a likelihood/link-specific function
atrialFibrillation

Prevention of stroke in atrial fibrillation patients
blocker

Beta blockers to prevent mortality after myocardial infarction
certolizumab

Certolizumab Pegol (CZP) for Rheumatoid Arthritis
depression

Treatment response in major depression
dietfat

Effects of low-fat diets on mortality
mtc.anohe

Analysis of heterogeneity (ANOHE)
hfPrevention

Statins versus placebo in primary and secondary prevention of heart failure
blobbogram

Plot a blobbogram (AKA forest plot)
gemtc-package

GeMTC: Network meta-analysis in R