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

Thomas Blondel (Ceva)
Nicolas Bonnet (Sanofi)
Daniel Bratton (GSK)
Sarah Bray (Amgen)
Alex Carlton (GSK) (Co-Chair)
Jacquie Christie (Sobi)
Paul Frewer (AstraZeneca)
Heiko Goette (Merck)
Tadhg Guerin (Theravance) (Co-Chair)
Kimberley Hacquoil (Exploristics)
Martin Johnson (UCB Pharma)
Kevin Kunzmann (Boehringer Ingelheim)
John-Philip Lawo (CSL Behring)
Daniel Leibovitz (Incyte)
Jesper Madsen (Novo Nordisk)
Pavel Mozgunov (Cambridge University)
Emmanuel Pham (Nova Discovery)
Gustaf Rydevik (UCB Pharma)
Gaëlle Saint-Hilary (Saryga)
Guido Thömmes (Grunenthal)
Katie Thorn (GSK)
Stefano Vezzoli (Chiesi Farmaceutici)
Stig Johan Wiklund

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

Latest News

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Upcoming Events

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Upcoming Events

PSI VisSIG Wonderful Wednesday Webinar Series (2023)

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 EIWG Webinar: Proposing Estimands from Different Perspectives

The webinar will build on the concepts and case studies previously discussed. A case study in heart failure will be presented from the perspective of multiple stakeholders.

Apprentice Statistician

As an Apprentice Statistician, you will work as a statistician on clinical trials under supervision, whilst also completing off-the-job training through the University of Strathclyde. You will receive an MSc-equivalent qualification in Medical Statistics.

Head of Hepatology/Gastrointestinal (GI)/ Renal Disease Area Clinical Statistics

This Head of Hepatology/Gastrointestinal (GI)/ Renal Disease Area Clinical Statistics role has a portfolio leadership for groups of statisticians aligned with specific business areas.