Problems For Statisticians To Take On
In today’s episode, Stephen and I discuss the main points of his presentation and the take-away learnings for every statistician – even if you don’t work in a large pharma company.
Kim
Wonderful Wednesdays – Data Visualization
In today’s episode, we talk about the advantages of using visualizations when analyzing and communicating data.
RWE Demystified
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.
How and Why to Increase your External Profile!
In today’s episode, Liz Cole and I will dive deep into a topic called content marketing. It’s kind of meta, since this podcast itself originates on these ideas. Does this sound frightening or disturbing? It shouldn’t.
Impact of AI on Clinical Development
In today’s episode, Karim and I cover cutting edge examples of how data science and statistical sciences are intersecting. Learn from this episode why different approaches matter when looking at clinical development data.
The Data Ops Manifesto from a Data Science Perspective
In today’s episode, we will talk about the data ops manifesto which addresses such problems. There are actually a couple of such manifestos out there such as the agile manifesto or the dev ops manifesto. These sound similar to Demings 14 principles outlined in his “out of the crisis” publication.
6 Effective Leadership Behaviors for Statisticians
Today, we’re reflecting on the 5 behaviors Olaf mentioned and add a great 6th one, which is very relevant as well.
Helping Statisticians Having a Bigger Role
Today’s interview is surely beneficial to every statistician – both early and later in their career as Andy Grieve shares from his wealth of experience across the industry and academia working in senior roles.
Learn about Different Indirect Comparison Approaches and Methods
Only specialized statisticians discussed indirect comparisons in the past but over the years the topic developed into something, every statistician should know about.
Christmas Episode 2019
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).
