15PSILON 2016 PSI banner v3

PSI are pleased to announce that theme of the 2016 Conference is “Promoting Statistical Insight and Collaboration in Drug Development” and registration is currently open.

Regarded as the principal annual event for statisticians in the pharmaceutical and healthcare industry in Europe, the 2016 PSI conference is taking place at The Pullman Hotel, Berlin, between 22 to 25 May 2016. It will be the 39th consecutive annual event.

The conference will consist of a variety of plenary sessions, parallel sessions, breakout discussion sessions, a poster session and the annual general meeting.  Sessions will include an update on estimands, subgroups, dose exposure modelling, decision criteria, use of biomarkers in translational activities, clinical registries and many more with speakers from industry, academia and regulatory agencies.

2016 PSI Conference Photos 

Please click here to view the conference photos

2016 PSI Conference Slides and Recordings

Please click here to see the slides and recordings

Abstracts

The abstract deadline has now passed. The accepted abstracts can be found within the event app. Please click here to view the Abstract Book.

Conference App


The PSI 2016 conference app is now live. Thank you to Astra Zeneca for their kind sponsorship of the app. The app contains the conference programme, abstracts, profiles of speakers and exhibitors.
We would encourage all delegates to download the app and create their own profile. Setting up your own profile allows you to add comments and interact with colleagues within the activity stream.
Please download the app at the following links:
Google: https://play.google.com/store/apps/details?id=com.attendify.confbfmd91 
Apple: https://itunes.apple.com/app/id1085508034 
Mobile Web Browser: http://conferenceapp2016.psiweb.org/ 

Technical Manual

Please click here to view the Exhibition Technical Manual

Scientific Programme

The scientific programme can be viewed here here. Please note the times and sessions are provisional and are subject to change.
A downloadable PDF can be viewed here.


Pre-Conference Course

A PSI Pre-Conference Training Course on Subgroup Analysis
Presented by Aaron Dane, Armin Koch, Ilya Lipkovich & Gerd Rosenkranz.  

PSI are delighted to announce the following two keynote speakers who are confirmed for our 2016 Conference:


Paul Wicks photo

Dr Paul Wicks, Vice President of Innovation at PatientsLikeMe

PatientsLikeMe is an online community for people living with medical conditions. Specialising in the conduct of clinical research using the Internet, Paul is responsible for shaping the scientific validity of the PatientsLikeMe platform and generating insights from personal health data shared by members. This sharing of online medical data has lead to over 60 studies including a patient-led observational trial of lithium in ALS, digital tools to develop patient-reported outcome measures, a “dose-response” curve for the benefits of friendship between patients, and methods for patient-centered clinical trial design. In 2011 he was awarded MIT Technology Review’s TR35 “Humanitarian of the Year” award and was recognized as a TED Fellow in 2012.

Stefan_Lange_photo

Prof. Dr. med. Stefan Lange
, Deputy Director at IQWiG

The Institute for Quality and Efficiency in Healthcare (IQWiG) is the German agency responsible for assessing the quality and efficiency of medical treatments, including drugs, non-drug interventions, diagnostic and screening methods, and treatment and disease management. Stefan has held the position of Deputy Director of the Institute since 2005, having joined in 2004.

Stefan completed his medical studies at the Heinrich-Heine-University in Düsseldorf in 1989 and received his MD in 1994. He was awarded the certificate of Biometrics in Medicine with the title of “Qualified Statistician” by the German Association for Medical Computer Sciences, Biometry and Epidemiology (GMDS) in 1999. In 2003 he received his PhD at the Ruhr University and received the venia legendi (right to teach) in Medical Biometry and Clinical Epidemiology.

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