# Automating network meta‐analysis

@article{Valkenhoef2012AutomatingNM, title={Automating network meta‐analysis}, author={Gert van Valkenhoef and Guobing Lu and Bert O. de Brock and Hans L. Hillege and A. E. Ades and Nicky J Welton}, journal={Research Synthesis Methods}, year={2012}, volume={3} }

Mixed treatment comparison (MTC) (also called network meta‐analysis) is an extension of traditional meta‐analysis to allow the simultaneous pooling of data from clinical trials comparing more than two treatment options. Typically, MTCs are performed using general‐purpose Markov chain Monte Carlo software such as WinBUGS, requiring a model and data to be specified using a specific syntax. It would be preferable if, for the most common cases, both could be derived from a well‐structured data file…

## 439 Citations

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Several essential concepts of Bayesian network meta-analysis are discussed, including the assumptions of homogeneity and consistency, the fixed and random effects models, prior specification, and model fit evaluation strategies, while pointing out some issues and areas where researchers should use caution in the application of BNMA.

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