Network Meta-Analysis Using Bayesian Methods
Plot a blobbogram (AKA forest plot)
GeMTC: Network meta-analysis in R
Call a likelihood/link-specific function
Analysis of heterogeneity (ANOHE)
Convert one-study-per-row datasets
Inspect residual deviance
Set priors for the heterogeneity parameter
Generate network meta-analysis models
Create an mtc.network
Node-splitting analysis of inconsistency
Running an mtc.model using an MCMC sampler
Plot treatment effects versus covariate values
Calculating rank-probabilities
Calculating relative effects
Table of relative effects
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) <doi:10.1002/jrsm.1054>; van Valkenhoef et al. (2015) <doi:10.1002/jrsm.1167>.