Multilevel Network Meta-Regression for population-adjusted treatment comparisons

06/08/2018 36 min Episodio 21
Multilevel Network Meta-Regression for population-adjusted treatment comparisons

Listen "Multilevel Network Meta-Regression for population-adjusted treatment comparisons"

Episode Synopsis

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.

More episodes of the podcast The Effective Statistician - in association with PSI