EARLY BIRD REGISTRATION DEADLINE

Early Bird Deadline is 20th March (Midnight GMT) 

Register now to receive the Early Bird fees and save up to £150.  More information on registration fees.

Group registration discounts are also available to companies sending a group of 10 or more full

conference delegates. Click here to find out more about the group registration discount rates available.

PROGRAMME HIGHLIGHT: The Future of A & R

The main hurdle for widespread use of R in late phase trials is ensuring adequate validation documentation. Following the R/Pharma conference held at Harvard University in August 2018, there was general agreement that the Base R and recommended packages can be used without further testing documentation. However, the risks associated with R packages need to be assessed on a case by case basis. Given the large number of packages and package dependencies, the membership of the AIMS SIG was expanded to create a “R Validation Hub” team. The R-Consortium in June 2018 awarded funding to create an online repository for R package validation in accordance with regulatory standards. The R Validation Hub team are now focused on designing a framework which could be used to assess package risk. The repository would host risk metrics, examples of tests, and validation documentation which together would form evidence of the quality of an R package. This documentation would be free to access and stored on a web based portal. The first version of the website went live in 2019 and can be accessed here.

We are excited that representatives of the AIMS group are coming back to the 2019 conference in London to give us an update on this initiative and their work using R in the regulatory environment.

SPOTLIGHT ON: Pre-Conference Courses

There are two Pre-Conference Courses taking place on Sunday, 2nd June from 13:00 – 17:00. When competing your registration for the main conference, you will have the opportunity to register for these courses (see costs below).

Course 1 - Stated Preference Methods: Eliciting patient preferences in the age of personalized medicine

Course 2 - Evidence Synthesis for Clinical Trials: Use of Historical Data and Extrapolation - Methods, applications and implementation with the R package RBesT

Click here for more information regarding the course presenters, the description, the target audience and the goals of the course. Be sure to sign up before the early bird deadline to benefit from the reduced rates. 

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