Scientific Committee

Scientific Chair: Rachael Lawrance (Adelphi Values), Conference Chair: Kate Taylor (Amgen)

The Scientific committee organises a number of one-day scientific meetings, webinars and the annual conference as well as joint meetings with other professional bodies each year. The topics of these meetings include statistical techniques and applications in pre-clinical and clinical trials, specific therapeutic areas, health technology assessments as well as regulatory and management issues.

Meetings

The Scientific Committee meets each month and alternates between teleconferences and face to face meetings primarily in London or the surrounding area.

Composition

The Scientific Committee is composed of the following members

Adam Crisp (GlaxoSmithKline)
Amitava Mukhopadhyay (Cytel India)
David Lawrence (Novartis)
Emanuella Pozzi (Roche)
Ioulietta Mulligan (Worldwide Clinical Trials)
Jennifer Gilbride (GlaxoSmithKline)
Julia Saperia (MHRA)
Kate Taylor (Amgen)  
Lynsey Womersley (Phastar)
Maria Efstathiou (IQVIA)
Martin Jenkins (AstraZeneca)
Mouna Akacha (Novartis)
Paul Terrill (Cytel UK)
Rachael Lawrance (Adelphi Values) 
Rosie Leach (Numerus)
Russell Jones (Orchard Therapeutics)
Sarah Williams (Roche)
Sue Todd (Reading University)
Tobias Mütze (Novartis)
Tom Burnett (Lancaster University)
 

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EventsFuture Events


  • PSI Training Course - Bayesian Practical Course using R and SAS - Dates: 18 – 19 Feb, 2020

    This practical training course will give a deep dive into performing Bayesian analyses in R and SAS. It is aimed at statisticians who need to be able to conduct Bayesian analyses as part of their day to day work. By the end of the course participants will be able to conduct their own analyses.
  • PSI Scientific Committee Webinar - Longitudinal modelling: Time to take the next step? - Dates: 18 – 18 Nov, 2019

    Longitudinal data, i.e. data that arises from repeated observations of the variable over a period of time, has long been put forward as one way to improve to the efficiency of drug development. However, even though there is a rich statistical methodology for longitudinal data, there is no full, wholehearted uptake of these methods in pharmaceutical statistics..
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