Multilevel Network Meta-Regression for population-adjusted treatment comparisons - a podcast by Alexander Schacht and Benjamin Piske, biometricians, statisticians and leaders in the pharma industry
from 2018-08-06T22:01
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.
Further episodes of The Effective Statistician - in association with PSI
Further podcasts by Alexander Schacht and Benjamin Piske, biometricians, statisticians and leaders in the pharma industry