Month: May 2019

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

Interview with Marco Boeri 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 …

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Useful tips to apply the composite estimands strategy

Interview with Michael O’Kelly Estimands continue to be a hot topic, but many statisticians struggle to put it into practice. As statistician, we wonder about the correct interpretation and how to analyse different estimands. In todays episode, we speak with Michael O’Kelly, an expert on this topic with lots of presentations around estimand (see e.g. …

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Subgroup identification using SIDES and its practical challenges

Interview with Andy Nicholls One of the most common questions I got asked during my nearly 2 decades of being a statistician sounds similar to this: “Which patients have the best response to treatment?” I’m sure, we all face this situation sooner or later and not surprisingly lots of research has happened in the last …

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