****************Still Additional Places available *****************************
Free PSI Scientific Meeting.
Translational Statistics: Ideas-Evidence-Innovation-Communication
Thursday 30th March 2017 9:30am - 4:30pm, Amgen Limited, 1 Uxbridge Business Park, Sanderson Road, Uxbridge, UB8 1DH
Traditionally, Translational medicine aimed to improve the flow from laboratory research through clinical testing and evaluation to standard therapeutic practice. Translational Statistics facilitates the integration of biostatistics within clinical research and enhances communication of research findings in an accurate and accessible manner to diverse audiences. Statistical analyses has often focused on methodological approaches for the scientific aspects of the studies; translational statistics aims to make the scientific results useful in practice.
This Scientific Meeting will focus on blurring the hard line between non-clinical and clinical and move to a more iterative discussion and investigates innovative designs in early phases of drug development to increase efficiency of the development process whist also considering reproducibility, relevance, and communication.
Agenda:
Translational Statistics: Relevance, Reproducibility, and Communication – John Hinde (University of Galway).
Translation, a two way street - A Case Study of Event Related Potentials (ERPs) as a Neuroscience Biomarker – Claire Brittain (Lilly)
Improving Design, Evaluation and Analysis of Early Drug Development Studies (IDEAS) – Thomas Jaki (University of Lancaster)
The use of biomarkers in translating from pre-clinical to first in human trials in Immunology – Alun Bedding (Roche)
Integrative modelling of experimental medicine clinical data shows that target engagement predicts clinically relevant biological effects – Fabio Rigat (GSK)
Design of Drug Development Programs with Biomarkers: A stratified medicine approach – Paul Frewer (AZ)
Further details, abstracts and registration on www.psiweb.org/events/psi-events (or contact: PSI +44 (0) 1730 715 235 [log in to unmask]). This is a free event and includes lunch and refreshments.
For information regarding the scientific content, contact: Rachael Lawrance ([log in to unmask]), Jennifer Gilbride ([log in to unmask]) or Nick Manamley ([log in to unmask]).
You may leave the list at any time by sending the command
SIGNOFF allstat
to [log in to unmask], leaving the subject line blank.
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