New NICE DSU Technical Support Document
Technical Support Document (TSD 20): Multivariate meta-analysis of summary data for combining treatment effects on correlated outcomes and evaluating surrogate endpoints
DSU network members from the Universities of Leicester, Warwick and Keele have produced the latest Technical Support Document [TSD 20] describing the key methods of multivariate meta-analysis and their
extensions to network meta-analysis of multiple outcomes. They focus on the use
of multivariate meta-analytic methods for combining data from multiple
correlated outcomes with the aim of including all relevant evidence and
borrowing of information across outcomes, in particular when not all of the
relevant studies report an outcome of interest. They also devote considerable
attention to the use of multivariate meta-analysis for the purpose of surrogate
endpoint evaluation.
They describe and apply the methods
in the Bayesian framework of estimation and provide WinBUGS code for a Bayesian
analysis using Markov chain Monte Carlo (MCMC) simulation.
To read the full document, please visit the DSU website's Technical Support Document page:-