Multivariate Network Meta-Analysis using Bayesian Methods
Tools to conduct Bayesian multivariate network meta-analysis providing
- the single correlation coefficient model by Efthimiou et al. (2015) ;
- per-outcome consistency checks using the node-splitting method (Dias et al., 2010) ;
- per-outcome treatment hierarchies using the surface under the cumulative ranking curve (SUCRA), the probability of best value, or median (or mean) ranks (Salanti et al., 2011) ;
- across-outcomes benefit-risk assessment using the ViĊĦeKriterijumska Optimizacija I Kompromisno ReĊĦenje (VIKOR) method (Opricovic & Tzeng, 2004) ;
- convergence checks using trace plots, density plots, or the R-hat statistic;
- forest plots of treatment estimates and consistency checks, scatter plots of per-outcome rankings, Hasse diagrams (Carlsen & Bruggemann, 2014) to visualize the partial order of the treatments across all outcomes.