The Effective Statistician - in association with PSI

The Effective Statistician - in association with PSI

The Effective Statistician - in association with PSI

Overview of different indirect comparison approaches and methods

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We specifically address the following points:

  • Reasons for IC 
  • The classical Bucher approach vs matching adjusted indirect comparisons (MAIC)
  • How to incorporated meta-analyses
  • Different network-meta-analyses approaches (NMA): Bayes vs Frequentist
  • systematic literature reviews (SLR)
  • Cochrane handbook
  • Tools

  • Visualizations
    • Bias 
    • Precision vs bias
    • Pre-specified vs post-hoc
    • Secondary vs primary endpoints
    • Power of IC
    • Publish detailed analyses

      Further references:
      PRISMA http://prisma-statement.org/PRISMAStatement/

      Earlier podcast episode:
      Network meta-analyses: why, what, and how

    Listen to this episode and know more about Indirect Comparison now!

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    About this podcast

    The podcast from statisticians for statisticians to have a bigger impact at work. This podcast is set up in association with PSI - Promoting Statistical Insight. This podcast helps you to grow your leadership skills, learn about ongoing discussions in the scientific community, build you knowledge about the health sector and be more efficient at work. This podcast helps statisticians at all levels with and without management experience. It is targeted towards the health, but lots of topics will be important for the wider data scientists community.

    by Alexander Schacht and Benjamin Piske, biometricians, statisticians and leaders in the pharma industry

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