Relevant publications and resources

Software for NMA

RevMan does not support NMA

CMIMG recommends three software packages for NMA

• Stata using

-the network package by Ian White and

-the network graphs package by Anna Chaimani

• R using the netmeta package by Gerta Rücker and Guido Schwarzer

• Bayesian approaches using Monte Carlo Markov chain methods (e.g. in WinBUGS, OpenBUGS, JAGS) 

For evaluating the confidence in results from NMA

    • Confidence In Network Meta-Analysis (CINeMA) web tool 

Relevant publications


Rücker G, Petropoulou M, Schwarzer G. Network meta‐analysis of multicomponent interventions. Biom J 2019 [Epub ahead of print][AC1] 

Efthimiou O, Rücker G, Schwarzer G, Higgins JPT, Egger M, Salanti G. Network meta‐analysis of rare events using the Mantel‐Haenszel method. Stat Med 2019 [Epub ahead of print][AC2] 


Papakonstantinou T, Nikolakopoulou A, Rücker G, Chaimani A, Schwarzer G, Egger M, Salanti G. Estimating the contribution of studies in network meta-analysis: paths, flows and streams. F1000Research 2018, 7:610[AC3] 

Chaimani A, Mavridis D, Salanti G, Higgins JPT, White IR. Allowing for informative missingness in aggregate data meta-analysis with continuous or binary outcomes: extensions to metamiss. Stata J 2018; 18: 716-740[AC4] 

Donegan S, Dias S, Tudur‐Smith C, Marinho V, Welton NJ. Graphs of study contributions and covariate distributions for network meta‐regression. Res Synth Meth. 2018; 9:243–260  [AC5] 

Donegan S, Dias S, Welton NJ. Assessing the consistency assumptions underlying network meta‐regression using aggregate data. Res Synth Meth. 2018; 1–18[AC6] 

Ma X, Lian Q, Chu H, Ibrahim JG, Chen Y. A Bayesian hierarchical model for network meta-analysis of multiple diagnostic tests. Biostatistics. 2018; 19: 87-102[AC7] 

Lian Q, Hodges JS Chu H. A Bayesian hierarchical summary receiver operating characteristic model for network meta-analysis of diagnostic tests. JASA 2018 [Epub ahead of print][AC8] 


Rücker G, Schwarzer G. Resolve conflicting rankings of outcomes in network meta‐analysis: Partial ordering of treatments. Res Synth Meth 2017; 8: 526-536[AC9] 

Chaimani A, Salanti G, Leucht S, Geddes JR, Cipriani A. Common pitfalls and mistakes in the set-up, analysis and interpretation of results in network meta-analysis: what clinicians should look for in a published article. Evid Based Mental Health 2017; 20: 88-94 [AC10] 

Donegan S, Welton NJ, Tudur Smith C, D'Alessandro U, Dias S. Network meta‐analysis including treatment by covariate interactions: Consistency can vary across covariate values. Res Synth Meth 2017; 8: 485–495 [AC11] 

*List is regularly updated with recent publications on NMA methods (Last updated: 6/20/2019)