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Multilevel Network Meta-Regression for population-adjusted treatment comparisons
Multilevel Network Meta-Regression for population-adjusted treatment comparisons
ratings:
Length:
36 minutes
Released:
Aug 6, 2018
Format:
Podcast episode
Description
Indirect comparisons provide evidence, when no direct clinical trials are available. However, the different approaches come with various limitations. Some more recent approaches take into account the baseline characteristics to reduce the bias in the estimates of the treatment effects.
In todays episode, I'm talking with one the worlds experts on this topic - Nicky Welton - who has published extensively in this field.
Starting from the basics of indirect comparisons we move into the most recent research in this area. These new approaches will help to better understand treatment effects in specific populations of interest. Possible applications run from designing phase II or III studies up to re-imbursement dossiers and commercialization efforts.
In todays episode, I'm talking with one the worlds experts on this topic - Nicky Welton - who has published extensively in this field.
Starting from the basics of indirect comparisons we move into the most recent research in this area. These new approaches will help to better understand treatment effects in specific populations of interest. Possible applications run from designing phase II or III studies up to re-imbursement dossiers and commercialization efforts.
Released:
Aug 6, 2018
Format:
Podcast episode
Titles in the series (100)
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