PSI CONFERENCE 2020
The main conference programme will run from Monday 8th June through to the afternoon of Wednesday 10th June, with two pre-conference workshops running on Sunday 7th June. 

We are currently in the midst of finalising registration fees which will be uploaded to the website soon, so keep an eye out for announcements in upcoming eNews and further Conference Newsletters. 

A s with previous years, the PSI Conference will provide plenty of opportunities to network, make new acquaintances, meet up with colleagues and hear the latest developments in statistics in the pharmaceutical industry.

Don't forget...
LESS THAN TWO WEEKS LEFT TO SUBMIT YOUR ABSTRACT!

Please note that the deadline to submit an abstract for oral presentations is 
Friday 29th November 2019 and Friday 28th February 2020 for posters
Anyone selected for an oral presentation of their poster at the conference will receive a 10% discount on the three day registration fee
REGISTRATION COUNTDOWN
Registration for the 2020 PSI Conference will open very soon... So keep an eye out in order to receive the Early Bird discount! 
SPOTLIGHT ON:
 PRE-CONFERENCE COURSES
This year the PSI Training Committee are delighted to offer 2 pre-conference courses again. Both of these courses will run on the afternoon of Sunday 7th  June and will be held at the same location used for the conference itself - at the Crowne Plaza Barcelona Fira Center.  Both courses will be available for registration through the main conference registration portal, so please sign up when you register for the conference itself to avoid disappointment!

Course 1
 
Biomarker Informed Clinical Designs - Where Innovation Meets Precision: Concepts, Rationale, and Case Studies
 
Presenters: Sandeep M Menon and Weidong Zhang, Pfizer Inc.
 
Advancement of biomarker technologies such as omics, digital biomarkers have brought unprecedented opportunities to precision medicine development. Biomarkers in clinical studies are becoming indispensable in designing clinical trials owing to but not limited to; 
1) heterogeneity of patient population defined by their molecular profiles 
2) complex disease etiology that demands deep and broader understanding of biology 
3) challenges and problems in evaluating PK/PD activities of new agents. 

Rich biomarker data have presented drug developers tremendous opportunities to design clinical trials with better precision and efficiency, thus may greatly improve probability of trial success. For example, biomarker enrichment designs allow us to test the drug in a full spectrum of patient populations according to their biomarker status. In addition, analysis of biomarker data in clinical trials can provide guidance for objective and robust decisions to de-risk clinical development.

The first part of this course will give a comprehensive overview of clinical biomarker and latest major technologies such as next generation sequencing (NGS) for biomarker discovery and quantification. Statistical considerations and challenges such as data normalization, biomarker threshold development and using biomarker for decision making in clinical development will be discussed in detail.
The second part of this course will focus on the strategy of the biomarker assisted study designs that is important to assessment of biomarker performance and reliability regarding patient stratification for safety and efficacy. Specifically, novel designs including Bayesian adaptive designs and their merits and limitations will be discussed. Statistical methodologies and implications on regulatory submissions will also be presented. Case studies will be discussed for illustration.
Course 2
 
Understanding Complex Trial Designs by Simulation
 
Presenters: Thomas Burnett and Thomas Jaki, Lancaster University
 
By their nature more complex trial designs present additional challenges at the design stage. In some cases simulation of the trial is a necessary technique in order to assess the operating characteristics of the design. Indeed simulation can be a powerful tool for gaining a deeper understanding complex designs and statistical methods.
In this course we shall learn how to use R to construct simulation studies allowing us to evaluate the performance of trial designs. We shall see how constructing simulations in this way can allow us to investigate the impact of unplanned deviations from the pre-planned trial design (such as changing decision criterion in adaptive designs). Further to this we shall demonstrate the totality of information available from a simulation study and the breadth of understanding that may be gained from this.

JOIN US IN BARCELONA

The 2020 PSI Conference will be held in the  Crowne Plaza Barcelona Fira Center, located in the heart of the cultural city centre. It offers a fantastic base to explore the city along with excellent transport links. 

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Preparations for the 2020 conference are now well under way and the Scientific Committee are working hard to put together what we think is an excellent programme!  Hope to see you all there.


Kate Taylor
PSI Conference Chair
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