Login / Signup

A framework for identifying treatment-covariate interactions in individual participant data network meta-analysis.

Suzanne C FreemanD FisherJ F TierneyJ R Carpenter
Published in: Research synthesis methods (2018)
Across-trial interactions are susceptible to confounding and ecological bias. It is important to separate the sources of evidence to check their consistency and identify which sources of evidence are driving the conclusion. Our framework provides practical guidance for researchers, reducing the risk of unduly optimistic interpretation of TCIs.
Keyphrases
  • systematic review
  • drinking water
  • clinical trial
  • study protocol
  • meta analyses
  • electronic health record
  • climate change
  • big data
  • phase iii
  • machine learning
  • combination therapy
  • case control
  • artificial intelligence