How do we define estimates effectively? What challenges arise in estimating treatment policy, particularly in the context of missing data and patient discontinuation? How can statistical approaches be communicated more transparently to both experts and the broader audience? In this episode, Oliver Keene and I delve into the realm of estimating treatment effects with continuous …
Ever wondered about the intricate connections between observational studies and the Estimand framework in the pharmaceutical industry? How do the challenges in multi-country primary data collection unfold, and what crucial role do assumptions play in propensity score methods? In this captivating episode, I’m excited to have Artemis Koukounari, an accomplished statistician and associate director in …
This is an extraordinary episode that takes us deep into the world of modern pharmaceutical research. Today, we are embarking on a captivating journey guided by the insightful dialogue between Elena Polverejan and me. Throughout this episode, we uncover the potential of the Estimands Framework. Join us as we delve into the origins of Estimands, …
In our world of clinical trials and observational studies, missing data based on drop outs or for others reasons leads to a challenge in understanding how well treatments work. Treatment policy estimands help us to understand efficacy based on early treatment decisions. Various approaches, like reference-based imputation and delta adjustment, exist to speculate what may have …