Findings of Bayesian Mixed Treatment Comparison Meta-Analyses: Comparison and Exploration Using Real-World Trial Data and Simulation

Specific objectives of this methods project were to examine (1a) how results of Bayesian Mixed Treatment Comparison (MTC) methods compare with several more commonly considered frequentist indirect methods, (1b) how Bayesian MTC methods perform for different evidence network patterns, (2) how meta-regression can be used with Bayesian MTC meta-analysis to explore heterogeneity, and (3) how findings of Bayesian MTC meta-analyses compare for different numbers of studies and different network pattern assumptions.

Principal Investigator: Daniel E. Jonas, M.D., M.P.H.
Funding: AHRQ