PSI Webinar Personalised Medicine: Statistics for Companion Diagnostics Date for Webinar: Thursday 4th May. 2-3.30pm UK time
Personalised medicines - which are designed to treat particular groups of patients - are becoming increasingly prominent. In order to identify patients suitable for treatment a companion diagnostic assay is often needed. The Personalized Medicines Coalition (PMC) recently published an article stating that 25% of NME approved by FDA in 2016 included a companion diagnostic.
This webinar will introduce and examine some of the considerations required for statisticians working in the field of companion diagnostics and will include information from an FDA (CDRH) speaker and perspectives/ case-studies from representatives from both a pharmaceutical company and a diagnostic company.
Meijuan Li, CDRH
Peter Cooper, Qiagen
Rachel Hodge, AstraZeneca
Abstracts:
Meijuan Li (CDRH)
Applications of personalized medicine are becoming increasingly prominent. A companion diagnostic assay (CDx) is often desired for patient enrollment in device-drug pivotal clinical trial(s) so that FDA can ensure that appropriate clinical and analytical validation studies are planned and carried out for CDx. However, such a requirement may be difficult or impractical to accomplish. A clinical trial assay (CTA) instead of CDx may be used for patient enrollment in drug-device pivotal clinical trial(s). A supplemental agreement study of CDx and CTA will be required to bridge the clinical results from CTA to CDx. In this webinar, we will discuss statistical challenges in study design and data analysis for bridging study. Particularly, we aimed to provide statistical methods on how to estimate the drug efficacy in CDx intended use population using results from bridging study and CTA-drug pivotal clinical trial.
Peter Cooper (Qiagen)
Perspective from Diagnostic Company
Rachel Hodge (Astrazeneca)
Perspective/Case-study from Pharmaceutical Company
PSI Webinar: Wearable Technologies - Challenges and Opportunities
Wearable technologies and digital health data offer great opportunities for studying patients functionally in real life settings. Actigraphy, for example, can be used as part of clinical trials to collect continuous movement data, but the frequency of data collection results in dense datasets requiring extensive processing and signal detection. In this webinar, a panel of expert speakers will discuss how such aspects can be addressed to help realize the promise of these technologies.
Our annual PSI Medical Statistics Careers Event, will be held online using the Career Fair Plus app on Wednesday 3rd March 2021. The event will include a live online panel discussion and a virtual exhibition session.
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By joining our company, in this role you will apply your skills and experience in support of developing scientifically based arguments aiming to provide fair accessibility to our company’s drugs and vaccines making a real difference in patient’s lives.
Senior Principal / Principal Biostatistician (Oncology) – FSP
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