Understanding heterogeneity for patient preference data and how it effects the benefit-risk ratio for treatments

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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.