PSI VisSIG Wonderful Wednesday Webinar Series
This is a good opportunity to develop your knowledge by thinking through a practical example, practicing how to apply graphics principles, and developing your coding skills.
Scientific Chair: Tobias Mütze (Novartis), Conference Chair: David Lawrence (Novartis)
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 a diverse variety of statistical techniques and applications relevant to PSI members working in clinical phase I-IV drug development & reimbursement and also a cover much wider remit applicable to the roles in the healthcare industry.
The Scientific Committee meets each month and alternates between teleconferences and face to face meetings primarily in London or the surrounding area.
The Scientific Committee is composed of the following members:
Amitava Mukhopadhyay (IQVIA)
David Lawrence (Novartis)
Jennifer Gilbride (Bayer)
Julia Niewczas (Janssen)
Julia Saperia (MHRA)
Kate Taylor (Amgen)
Kristina Weber (Roche)
Maria Efstathiou (IQVIA)
Martin Jenkins (AstraZeneca)
Paul Terrill (PT Stat Consulting Ltd)
Rachael Lawrance (Adelphi Values)
Russell Jones (Orchard Therapeutics)
Sarah Williams (Roche)
Sue Todd (Reading University)
Teodora Trasieva (AstraZeneca)
Tobias Mütze (Novartis)
Tom Burnett (Bath University)
This is a good opportunity to develop your knowledge by thinking through a practical example, practicing how to apply graphics principles, and developing your coding skills.
In this talk, you will learn how to quickly explore your data in the web browser and how to create, collaborate and share interactive visualisations with others.
Dr Francq will discuss the need for analytical methods to deliver unbiased and precise results and talk in detail on confidence, prediction and tolerance intervals work in linear mixed models and the interpretation of statistical results. This will be followed by Q&A.
During this session you will explore how we best execute change within our roles, build your practical understanding of agile tools and techniques, and inspire you to experiment with the new ways of working to deliver your goals.
To understand how the estimand framework changed the development of clinical trials.
Aimed at Statisticians working on the design of Clinical Trials, participants will learn how to use Expected Power, Average Power, Predicted Power, Probability of Success and Assurance, and Bayesian Power when planning clinical trials.
The Apprentice Biostatistician splits their time between working for Parexel and performing studies with a university to obtain a MSc in Statistics over a period of three years.
We are actively looking to expand our team in Wokingham with a permanent position for a Biostatistician / Statistical Programmer.
Are you interested in prevention, diagnosis and treatment of infectious diseases and the application of modern and innovative statistical methods?