Understanding heterogeneity for patient preference data and how it effects the benefit-risk ratio for treatments - a podcast by Alexander Schacht and Benjamin Piske, biometricians, statisticians and leaders in the pharma industry

As statisticians in the medical field, we’re used to study subgroups of patients with respect to all kinds of biological variables: from demographics to genomics. This provides us with a good understanding of how the benefit-risk profile for a given patient looks like.

However, the patient might have a completely different view on the importance of the different benefits and risks. And importantly, these preferences might be less driven by biologic factors and more by personal experiences and situations as well as psychological traits. How can we assess patient preferences in this regard?

Marco Boeri and I worked on such questions in the past and some work has been presented at last years PSI conference. In todays episode, we give you some insights into what’s possible and how you can approach this problem.

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

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