Start / The Effective Statistician – in association with PSI / Everything you need to know about matching adjusted indirect comparisons

The Effective Statistician – in association with PSI

Everything you need to know about matching adjusted indirect comparisons

42 min • 4 augusti 2020

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

Listen to this episode and share this with your friends and colleagues who can learn from it!

Senaste avsnitt

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