Abstract Submissions

In order to submit an abstract, please download a form which must be completed and sent to psi2018conference@mci-group.com

Successful applicants will be notified within three weeks following the deadline.


Oral Abstract: 24th November 2017
Poster Abstract: 28th February 2018


Abstract Topics

We welcome abstracts on any subject but would be particularly interested in the following:

  • Methods/Applications of Machine Learning
  • Innovative Methods to Analysing Safety Data
  • Bayesian Topics within Early or Late Phase
  • Advances in Pre-Clinical Development
  • Applications of Real World Data
  • Complex Early Designs e.g. Umbrella/Basket Studies
  • Case Studies using Genomic/Biomarker Data
  • Case Studies Involving Innovative Designs/Methodology
  • Methods/Application of Observational or Non-Interventional Trials
  • Examples in the Area of Health Technology Assessments
  • Designs/Analysis for Medical Devices
  • Novel Approaches to Paediatric Development
  • Case Studies involving Translational Research

Due to popular demand, we are keeping the 10% discount on the 3 day conference price for anyone selected for an oral presentation. 

If you are a career young statistician (approximately less than 5 years working in the pharmaceutical industry) then there will be a dedicated contributed session for you. This is a great opportunity to gain experience in presenting in a friendly environment and to network with peers at other companies.

Given the success of our 1 minute poster preview in 2017, 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. This will form part of the final session on the Monday, leading into the poster session.  

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    The Toxicology SIG provides a forum for statisticians working in regulatory and investigative toxicology to discuss issues and interact with one another. This 1.5-day workshop will involve hopefully approximately 20 statisticians, focusing on discussions around “best practice” in the statistical analysis of various data types.
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