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.
"Are you a student or new starter at your first PSI conference? Have you come to the conference alone? Not sure which sessions to attend? We are here to help!”
On Monday June 13 join Jemma Greenin before the conference begins for the opportunity to find like-minded attendees, ask questions about the sessions and what to expect from the conference.
At lunchtime on Monday June 13th please join the PSI Careers and Academic Liaison Committee (CALC) for a networking session chaired by Jemma Greenin. This session is an opportunity for students and those new to the industry to expand their network. There will be a casual icebreaker for you to meet other new statisticians across the pharmaceutical industry, and the globe, in a relaxed, informal setting. This will also be another great opportunity to find colleagues to attend and discuss sessions with! Look forward to seeing you there!
Last but by no means least there is also an opportunity to meet fellow attendees before the conference at the Career Young Virtual Event Tuesday 7th June 12pm-1pm GMT, an informal meet with a fun quiz in small groups. Sign up coming soon
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.
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?