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..

This course will give an overview of ICH guidelines for all statisticians in the setting of drug development trials and drug approval in the pharmaceutical industry.

Quantitative methods to support decision-making in clinical drug development already exist, but may be unknown or unused by pharmaceutical companies.

We performed a survey among pharmaceutical companies, targeting people with different profiles (statisticians, non-statisticians and decision-makers) working at different stages of the clinical development (study level, development level or portfolio level).

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.

Our annual PSI Medical Statistics Careers Event, will be held at the De Montfort University in Leicester on Wednesday 4th March 2020.

The ITIT course will take 25 delegates new to the industry on a complete drug development experience from discovery to marketing. They will visit 6 companies from October 2020 to July 2021 to learn about 6 topics from experts in their field. The ITIT course will have 6 sessions in continental Europe and 3 - 4 sessions in the UK. It promises to be a truly memorable course.