Bayesian statistical approaches to mixed treatment comparisons (MTCs) are becoming more
popular because of their flexibility and interpretability. Many randomized clinical trials report …

First, we wish to thank Drs. Dias and Ades (henceforth DA) for their discussion of our work,
as well as their thorough and passionate defense of the traditional contrast-based (CB) …

Objectives Specific objectives were to examine the following:(1a) how results of Bayesian
mixed treatment comparison (MTC) methods compare with several commonly considered …

Mixed treatment comparison (MTC) meta‐analysis is a generalization of standard pairwise
meta‐analysis for A vs B trials, to data structures that include, for example, A vs B, B vs C …

In mixed treatment comparison (MTC) meta-analysis, modeling the heterogeneity in
between-trial variances across studies is a difficult problem because of the constraints on …

Estimates of relative efficacy between alternative treatments are crucial for decision making
in health care. Bayesian mixed treatment comparison models provide a powerful …

Mixed treatment comparison (MTC) meta‐analysis allows several treatments to be
compared in a single analysis while utilising direct and indirect evidence. Treatment by …

Randomized comparisons among several treatments give rise to an incomplete-blocks
structure known as mixed treatment comparisons (MTCs). To analyze such data structures, it …

Background Multiple treatment comparison (MTC) meta-analyses are commonly modeled in
a Bayesian framework, and weakly informative priors are typically preferred to mirror familiar …

Mixed treatment comparisons (MTC) meta‐analysis synthesises comparative evidence on
multiple treatments or other interventions from a collection of randomised controlled trials …