Driving Statistical Innovation – Barriers And Strategies Part 2
In this part 2, Mouna, Kaspar, and I share our insights on the strategies for innovation in statistics for drug development.
Eunice
Driving Statistical Innovation – Barriers And Strategies Part 1
Statistical innovation is vital in the pharmaceutical industry as it drives evidence-based decisions and brings value to patients. However, it requires a delicate balance between invention and commercialization to achieve success.
Your compound through the eyes of the competition
I discuss an experience with helping a company with their need to communicate data effectively in order to differentiate their compound from the standard of care.
Do you still focus on SAS alone?
Do not limit yourself to SAS only. Take the initiative to learn R and its advantages to enhance your skillset and knowledge.
Framework for estimating policy estimands
In this episode, let’s dive into the details of this innovative framework for estimating policy estimands.
Beyond Regulatory and HTA Success: Reaching Physicians and Patients
In this episode, I discuss how you can have an impact on physicians and patients beyond regulatory and HTA approval.
Interpretable Machine Learning
In this episode, we have the privilege of interviewing Serg Masis who authored the book “Interpretable Machine Learning with Python: Learn to build interpretable high-performance models with hands-on real-world examples”.
Simulations – your most powerful study design tool
Together with Kim Hacquoil and Jamie Inshaw in this episode, we discuss the benefits of using simulations as a study design tool.
PSI Book Club – dare to lead review
In this podcast episode, Marius and I discuss Brené Brown’s “Dare to Lead”, a book that dives into the importance of vulnerability-based leadership.
Introduction to Clivoffective
In this episode, we explore what Clivoffective has to offer and how it benefits both statisticians and hiring managers.
