Abstract
In network meta-analysis, we synthesize all relevant available evidence about health outcomes from competing treatments. That evidence might come from different study designs and in different formats: from non-randomized studies (NRS) or randomized controlled trials (RCT) as individual participant data (IPD) or as aggregate data (AD). To utilize all available evidence, we need a software that allows us to combine these different pieces of information accounting for their differences, e.g. RCTs have typically lower risk of bias than NRS.
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