Multitasking
This podcast gives you an idea of what multitasking is, how it has changed the way people work through time, and how it has created more problems than solving issues as expected.
Knowledge
5 use cases for network meta-analyses you should know about
There are many problems you can solve using these approaches and statisticians overlook some on a regular basis.
Bonus Episode: Understanding leadership deeply – trust, relationship, and influence for statisticians – Interview with Gary Sullivan
After listening to this episode, you will have a solid understanding of the levers of success, that is not associated with technical knowledge.
Leaders are persistent
Even in the face of difficult barriers, a persistent leader does not give up. This short but rich conversation between Gary and me introduces the meaning of leadership and how persistence shapes its value.
Bonus Episode: Why should statisticians care about leadership and developing their leadership skills?Â
The Leadership program is now open and in this bonus episode, we go into some key questions about statisticians and leadership that may help you decide on your next steps.
RWE and the FDA (Part 2)
Validation of data should be accomplished through focusing on the accuracy of the representation of the data from actual settings and how they could be applied in real-life cases
RWE and the FDA (Part 2)
The extensive existence of Real World Evidence resources is already out there and is ready for utilization in clinical trials.
Patient-reported Outcomes and the FDA Patient-Focused Drug Development Guidance
In today’s episode, we discuss the process with the FDA publishing a timeline of planned public workshops, draft guidance documents and final guidance documents for 4 documents, originally planned to finish in end 2021 and its objective to explore the factors that need to be considered when developing COA-based endpoints.
What Is the Current State of Launch and Lifecycle Work and How Did It Evolve?
What is medical affairs? Launch and Lifecycle?
How has this area evolved over the last 2 decades?
What is the current state across the industry in terms of the role of statistics in this space?
This is a series of episodes and today’s content is the first episode.
The Best of Causal Inference
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 – this becomes part of every statisticians toolkit. Today, we have one of the world leading experts in this field as a guest – Miguel Hernan.
