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.
Please look out for an activation email from ‘PSI no-reply@glueup.com’ in the near future. You may need to add this email address to your safe senders list, or keep an eye on your spam folders. Once activated you can use the email address associated with your member record and the new password to login and access the PSI member benefits.
Join our community dedicated to leading and promoting the use of statistics within the healthcare industry for the benefit of patients.
Why not join PSI, all PSI members will also benefit from:
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.
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.
PSI are running a book club! We will be reading and discussing non-technical books which are relevant to our roles.
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.
In just 1 hour, learn about the field of medical statistics and how it plays a crucial role in developing ground-breaking new medicines, vaccines and healthcare products.
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?