Here you can learn how to add new statistical methods to your toolbox. These may not be neccessarily cutting edge methods, but approaches, that you are not yet aware about.
Real world evidence (RWE) Big data Real world data (RWD) Pragmatic studies There are lots of buzzwords floating around and especially with the FDA having a bigger focus on RWE it’s top of mind for many stakeholders. Many teams in the different pharma organizations concentrate on this type of evidence.
Interview with Karim Malki With so many recent advances in AI, it is important for statisticians to both keep up to date with the most recent methods and getting involved in guiding their application to the most pressing statistical challenges. In today’s episode, Karim and I cover cutting edge examples of how data science and …
Interview with Christopher Bergh Do you feel you’re working like a firefighter? Do you have the perception, you’re solving the same problems over and over? Do you worry about ever changing requests from your business partners? Then you are not alone – not even alone in the pharma world. In today’s episode, we will talk …
The data ops manifesto from a data science perspective Read More »
One of my favourite leadership podcasts run by Olaf Kapinski – unfortunately in German – had a great episode recently, click this for Leben-Führen’s podcast. Today, we’re reflecting on the 5 behaviours Olaf mentioned and add a great 6th one, which is very relevant as well. The 6 behaviours we’re speaking about are:
Only specialized statisticians discussed indirect comparisons in the past but over the years the topic developed into something, every statistician should know about. In this episode, Benjamin and I talk about the important reasons for using indirect comparison (IC). We specifically address the following points:
During this episode, we review some highlights from this year. It’ll help you remember a couple of lessons learned or inspire you to listen to some episodes (again). We talk about: