In network meta‐analysis (NMA), we synthesize all relevant evidence about health
outcomes with competing treatments. The evidence may come from randomized clinical
trials (RCT) or non‐randomized studies (NRS) as individual participant data (IPD) or as
aggregate data (AD). We present a suite of Bayesian NMA and network meta‐regression
(NMR) models allowing for cross‐design and cross‐format synthesis. The models integrate
a three‐level hierarchical model for synthesizing IPD and AD into four approaches. The four …

In network meta-analysis (NMA), we synthesize all relevant evidence about health outcomes
with competing treatments. The evidence may come from randomized controlled trials (RCT)
or non-randomized studies (NRS) as individual participant data (IPD) or as aggregate data
(AD). We present a suite of Bayesian NMA and network meta-regression (NMR) models
allowing for cross-design and cross-format synthesis. The models integrate a three-level
hierarchical model for synthesizing IPD and AD into four approaches. The four approaches …