Attached are details of a new framework for meta-analysis that we created that is easy for the main-stream researcher to implement. In addition, it avoids many assumptions involved with the Bayesian method and thus may actually be the more accurate framework. Does anyone with Bayesian interests have any thoughts vis a vis using this as a replacement to the Bayesian framework in network meta-analysis?
See this paper:
Article A generalized pairwise modelling framework for network meta-analysis
Thanks for sharing...Generalized Pairwise Modelling seems the way to go!
Thanks! Attached is the GPM output of the same data reported by Senn [1] using the RE model. In addition to Senn's output (iteratively re-weighted least squares), the Bayesian and multivariate frequentist output from the same data are attached (from a paper by Rucker). Of note, only the GPM framework is accessible to the mainstream researcher.
1. Senn S, Gavini F, Magrez D, Scheen A. Issues in performing a network meta-analysis. Stat Methods Med Res. 2013; 22(2):169-89.
- Badges
- Science method
- Similar topics
- Mathematics
- Statistics
- Statistical Techniques
- Meta-Analysis