
Interview with Guillaume Desachy and Nicole Krämer Interview with Guillaume Desachy and Nicole Krämer Biomarkers help you in all kinds of different ways, so stay tuned while Guillaume, Nicole, and I talk about the following points: Never miss an episode of The Effective Statistician Join hundreds of your peers and

Interview with Andrew Thomson What is extrapolation?How can we use extrapolation in paediatrics?What are the main challenges? Paediatric research always comes with challenges, and understanding paediatric submission is vital. There’s always a lack of treatment in this area. In this episode, you’ll understand what you can do to get evidence

Interview with Gaëlle Saint-Hilary What are the benefits of including external data in the design and analysis of clinical studies?How does the meta-analytic predictive model (MAP) work? Boosting clinical trial data with external data belongs to the very hot topics at the moment. Every conference includes a session about it

Interview with Rachael Lawrance The FDA is developing a series of four methodological patient-focused drug development (PFDD) guidance documents to address, in a stepwise manner, how stakeholders can collect and submit patient experience data and other relevant information from patients and caregivers for medical product development and regulatory decision making.

Interview with Dr. Stefan Walzer What is a DIGA?Why is Germany so important for DIGAs? Nowadays, there are a couple of available apps being used in several countries that collect user information, such as heart rate combined with algorithms that calculate certain health risks that the user may be vulnerable

Interview with Antoine Regnault Why do companies want to develop new patient-reported outcomes (PRO)?How does the process start when we want to develop a new questionnaire?What are the key areas to look into for understanding the quality of a PRO?What guidelines exist on developing new PROs? In today’s episode, Antoine

Interview with Miguel Hernan When there is one topic, which is really hot, it’s causal inference. I’ve got in contact with it about 20 years ago when analysing observational studies and when nobody working on clinical trials would consider it. But now – after the introduction of the estimands framework
Never miss an episode of The Effective Statistician
Join hundreds of your peers and subscribe to get our latest updates by email!
Get the
Success! Now check your email to confirm your subscription.