Combining randomized and non-randomized evidence in network meta-analysis.

  title={Combining randomized and non-randomized evidence in network meta-analysis.},
  author={Orestis Efthimiou and Dimitris Mavridis and Thomas P A Debray and Myrto T Samara and Mark A Belger and George C. M. Siontis and Stefan Leucht and Georgia Salanti},
  journal={Statistics in medicine},
  volume={36 8},
Non-randomized studies aim to reveal whether or not interventions are effective in real-life clinical practice, and there is a growing interest in including such evidence in the decision-making process. We evaluate existing methodologies and present new approaches to using non-randomized evidence in a network meta-analysis of randomized controlled trials (RCTs) when the aim is to assess relative treatment effects. We first discuss how to assess compatibility between the two types of evidence… CONTINUE READING
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