Today, listen to an interview with Margaret Gamalo, about how to combine a control arm with real world evidence data, a really hot topic.
Also, Margaret has been sharing her knowledge for a long time and has gained lots of opportunities this way. Helping others will help you in the long-run. We discuss this aspect in the episode as well.
Join us while we talk about the following interesting points:
- Propensity scoring
- Find and match data
- Adjust for baseline differences and post-baseline differences
- Importance of presenting research and how this leads to lots of good opportunities
Listen to this episode and share this with your friends and colleagues!
Never miss an episode!
Join thousends of your peers and subscribe to get our latest updates by email!
Get the
Learn on demand
Click on the button to see our Teachble Inc. cources.
Featured courses
Click on the button to see our Teachble Inc. cources.
Margaret Gamalo
Senior Director – Biostatistics at Pfizer
Margaret (Meg) Gamalo, PhD is Senior Director – Biostatistics, Global Product Development – Inflammation and Immunology at Pfizer Innovative Health. She combines expertise in biostatistics, regulatory and adult and pediatric drug development. She recently was a Research Advisor, Global Statistical Sciences at Eli Lilly and Company and prior to that was a Mathematical Statistician at the Food and Drug Administration. Meg leads the Pediatric Innovation Task Force at the Biotechnology Innovation Organization. She also actively contributes to research topics within the European Forum for Good Clinical Practice – Children’s Medicine Working Party. Meg is Editor-in-Chief of the Journal of Biopharmaceutical Statistics and is actively involved in many statistical activities in the American Statistical Association. She received her PhD in Statistics from The University of Pittsburgh and a Master’s in Applied Mathematics – Operations Research from the University of the Philippines.
Join The Effective Statistician LinkedIn group
This group was set up to help each other to become more effective statisticians. We’ll run challenges in this group, e.g. around writing abstracts for conferences or other projects. I’ll also post into this group further content.
I want to help the community of statisticians, data scientists, programmers and other quantitative scientists to be more influential, innovative, and effective. I believe that as a community we can help our research, our regulatory and payer systems, and ultimately physicians and patients take better decisions based on better evidence.
I work to achieve a future in which everyone can access the right evidence in the right format at the right time to make sound decisions.
When my kids are sick, I want to have good evidence to discuss with the physician about the different therapy choices.
When my mother is sick, I want her to understand the evidence and being able to understand it.
When I get sick, I want to find evidence that I can trust and that helps me to have meaningful discussions with my healthcare professionals.
I want to live in a world, where the media reports correctly about medical evidence and in which society distinguishes between fake evidence and real evidence.
Let’s work together to achieve this.