This event is aimed at students with an interest in the field of Medical Statistics, for example within pharmaceuticals, healthcare and/or medical research.
We welcome exhibitors from pharmaceutical companies, CROs, CTUs and other organisations working within the field of Medical Statistics, including any universities who run an MSc or PhD in Statistics, or have statistical consulting groups.
For university students, this is not necessarily just a recruitment event, but a day where students can learn more about the types of opportunities available within medical statistics, and have the chance to network with potential employers.
Once again, the event will be open to exhibitors and students globally! Please click the relevant page below for more information.
We look forward to seeing you there!
Emma Crawford, Jessica Kendall, Lizzi Pitt, Alexander Todd and Amanda Darekar, on behalf of PSI CALC
PSI Pre-Clinical SIG Webinar: Assay Qualification by Linear Mixed Model: Confidence, Prediction & Tolerance Intervals
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.
PSI Training Course: An Interactive Introduction to Agile Ways of Working
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.
PSI Training Course: Hybrid Frequentist / Bayesian Power and Bayesian Power in Planning 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.
Principal Statistician combining biomarker analysis with clinical data
We are looking for a Principal Statistician to be part of exciting work combing clinical trial data and biomarker data to support the future development of molecules within the therapeutic areas of obesity and NASH.