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Multilevel Network Meta-Regression for population-adjusted treatment comparisons

Multilevel Network Meta-Regression for population-adjusted treatment comparisons

FromThe Effective Statistician - in association with PSI


Multilevel Network Meta-Regression for population-adjusted treatment comparisons

FromThe Effective Statistician - in association with PSI

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.
Released:
Aug 6, 2018
Format:
Podcast episode

Titles in the series (100)

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.