Everything you need to know about matching adjusted indirect comparisons

An Interview with Daniel Saure

In today's episode, Daniel and I talk about these questions and discuss more about the following points:

• Bucher vs MAIC - advantages and disadvantages
• Methodik MAIC
• NICE technical document (http://nicedsu.org.uk/technical-support-documents/population-adjusted-indirect-comparisons-maic-and-stc/) - including R code
• Which baseline variables to include?
• What to do if you have multiple studies on one side?
  • patient-level data meta-analyses
  • literature studies meta-analyses
• How to compute the “average” baseline variables?
• How to adjust for baseline variables?
• What are the different ways to adjust? (https://www.ncbi.nlm.nih.gov/pubmed/30661638)
• How does it relate to network meta-analyses

Reference: Case study IXE vs SECU

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