The Quantitative Decision-making Special Interest Group (QDM SIG) was formed in October 2017. It is a group of statisticians from industry and academia, with experience and interests in statistical methods for quantitative decision-making in drug development. The objectives of the SIG are:
| Gianluca Baio (UCL) |
| Nicolas Bonnet (Sanofi) |
| Sarah Bray (Amgen) |
| Alex Carlton (GSK) |
| Jacquie Christie (GSK) |
| Pierre Colin (Debiopharm) |
| Paul Frewer (AstraZeneca) |
| Heiko Goette (Merck) |
| Martin Johnson (UCB Pharma) |
| Kevin Kunzmann (Cambridge University) |
| John-Philip Lawo (CSL Behring) |
| Jesper Madsen (Novo Nordisk) |
| Pavel Mozgunov (Lancaster University) |
| Emmanuel Pham (Ipsen) |
| Veronique Robert (Servier) |
| Oliver Sailer (Boehringer Ingelheim ) |
| Gaëlle Saint-Hilary (Servier) (Chair) |
| Guido Thömmes (Grunenthal) |
For further information, or to join the QDM SIG, please contact the chair:
Gaelle Saint-Hilary (Servier and Politecnico di Torino)
gsainthilary@gmail.com
Our monthly webinar explores examples of innovative data visualisations relevant to our day to day work. Each month a new dataset is provided from a clinical trial or other relevant example, and participants are invited to submit a graphic that communicates interesting and relevant characteristics of the data.
PSI are starting a book club! We will be reading/discussing non-technical books relevant to our roles. Participants will be split into smaller groups to network with each other and practice exercises.
The first talk will be about "Introduction to Statistical Methods and Challenges in Vaccine Development" by Ivan Chan and the second talk will be about "Vaccine quintet. Statistical issues in the design and analysis of five vaccine programmes" by Stephen Senn.
In this short course, we will provide a statistical framework to incorporate external information into a trial. Bayesian Dynamic Borrowing designs based on the meta-analytic predictive (MAP) model will be detailed, and a practice session will be proposed with applications using the R package RBesT.
Our annual PSI Medical Statistics Careers Event, will be held online on Wednesday 2nd March 2022. The event will include a live online panel discussion and a virtual exhibition session.
We offer challenging work in a respectful and friendly global working environment surrounded by a world of innovation driven mindsets and practices.
In this role you will consult in the design of complex and innovative studies and clinical trial programs as well as Leading DMC/DSMB processes.
Biometrics at AstraZeneca provides the data that influences decisions on how we roll back the frontiers of science to bring life-changing medicines to the world. We are at the heart of design, decision making, analytics and interpretation.
Joining us as Principal Biostatistician you will be responsible for providing statistical support of global clinical development programs in neuroscience.
