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.
Knowledge
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.
Killer statistician
With a PhD in statistics from UC Riverside, Debarshi believes that to be a “killer statistician,” one must adopt the roles of a detective, lawyer, and storyteller.
5 Reasons for Career Failure
Today’s episode is inspired by a German podcast that delved into five key reasons for career failure and I fine-tuned this to fit statisticians.
Announcing The Effective Statistician Academy
If you’re a statistician, data scientist, or programmer looking for quality training opportunities that will help you advance your career, you might want to look into The Effective Statistician Academy.
Bayesian approaches in early clinical research
Statisticians and data scientists should invest in training programs to enhance their skills in Bayesian modeling, use open-source software for Bayesian modeling, and ensure that they have access to well trained computational analysts.
Why is it impossible to have a great standard data visualisation?
Losing a job is never an easy experience, that’s why preparing in advance and building a safety net for job security is crucial. In this episode, I discuss some tips on creating a Plan B strategy that can help you to stay employable.
One-armed observational studies: fake science?
In this episode, we will discuss one-armed observational studies and why they are, in most cases, not a good idea. We will also touch on the early days of my career as a statistician and how I initially approached one-armed observational studies.
RCT Duplicate
In this episode, we discussed RCT Duplicate’s goals and recommendations for real-world evidence researchers based on findings from the initiative.
