A Bayesian Missing Data Framework for Multiple Continuous Outcome Mixed Treatment Comparisons — Final Report

Conclusions. Our missing data approaches appear preferable for incorporating missing data and correlation structure in MTC modeling, to traditional contrast-based approaches, and thus in obtaining more precise and robust parameter estimates.