We are currently accepting abstract submissions. In 2019 we received a huge number of outstanding abstracts providing the reviewers with a very tricky job of selecting the finest. The PSI Conference provides a wonderful platform to present your work. We highly recommend submitting your abstract, as it is a great opportunity to showcase your work either as an oral or a poster presentation.
The deadlines for submitting abstracts are as follows:
Oral: NOW CLOSED
Poster: 28th February 2020
All abstract-submitters that are chosen to have their work as an oral presentation at the conference will receive a 10% discount on the registration fee.
We welcome abstracts on any subject but would be particularly interested in the following:
- Estimand case studies
- Medical devices
- Data visualisation
- Decision-making e.g. policies/go-no-go/development programs
- Data Science and its applications
- Pre-clinical and early phase statistics
- Bayesian topics within early or late phase
- Case studies on Adaptive Design
- Innovative trial design
- Non-parametric studies
- Model development in practice
- Personalised medicine
- Combining sources of data
If you are a career young statistician (approximately less than 5 years working in the pharmaceutical industry) then you will have the option to present in a dedicated contributed session alongside your peers, should you wish. This is a great opportunity to gain experience in presenting in a friendly environment and to network with those of a similar experience at other companies.
Given the success of the 1 minute poster preview in the last few years, anyone selected for a poster, will be asked if they would like to give a 1 minute presentation on their poster, to give people a brief insight into their work, as part of the final session on the Monday, leading into the poster session.
In order to submit an abstract, please download a form, which must be completed and sent to firstname.lastname@example.org
Successful applicants will be notified within three weeks following the deadline.