Decision Making SIG

Objectives

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:

  • To share (anonymized) case studies of how quantitative decision-making methods have been used within pharmaceutical companies, for decisions at the trial level, at the development level and at the portfolio level
  • To perform literature reviews, discuss and make recommendations on existing methodologies in terms of approach and interpretation
  • To develop new methodologies or practices where needed
  • To promote the role of the statistician in supporting decision-making in pharmaceutical companies and/or other stakeholders
  • To propose trainings, public meetings or publications to share methods and experience

Who we are

Corine Baayen (Ferring Pharmaceuticals)
Thomas Blondel (Ceva)
Daniel Bratton (GSK)
Alex Carlton (GSK) (Co-Chair)
Paul Frewer (AstraZeneca)
Heiko Goette (Merck)
Tadhg Guerin (Theravance) (Co-Chair)
Kimberley Hacquoil (Exploristics)
Serene Jiang (J&J)
Kevin Kunzmann (Boehringer Ingelheim)
April Li (University of Cambridge)
Donia Skanji (Servier)
Jesper Madsen (Novo Nordisk)
Mads Wessel Pederson (Lundbeck)
Caroline Petit (Merck)
Emmanuel Pham (Nova Discovery)
Franck Poitiers (Sanofi)
Gustaf Rydevik (UCB Pharma)
Gaëlle Saint-Hilary (Saryga)
Nima Shiriati (Roche)
Guido Thömmes (Merck)
Katie Thorn (GSK)
Stefano Vezzoli (Chiesi Farmaceutici)
Stig Johan Wiklund (Captario)

How to get in touch

For further information, or to join the QDM SIG, please contact our Co-Chairs:

Alex Carlton (GSK) alex.l.carlton@gsk.com
Tadhg Guerin (Theravance) tguerin@theravance.com


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