The global COVID-19 outbreak is affecting ongoing clinical trials to an extent never previously witnessed. Studies will be affected in a variety of ways such as slow patient recruitment, increase in missing data and protocol violations due to subjects being unable to attend planned trial visits.
As the pandemic continues we must begin to put actions in place to quantify the impact of this outbreak.
By watching this webinar you will discover statistical methodologies which will help rescue your trial from the challenges caused by the COVID-19 pandemic.
This webinar presents:
Niccolo’ is a Principal Statistician at Quanticate and has worked on a large variety of projects spanning many TAs and Phase I to IV, providing input to study design and conduct as well as planning and executing statistical analysis and interacting with regulatory agencies. Prior to joining Quanticate in 2015, he worked as a research fellow for nearly 7 years in Medical Statistics at the University of Milan and 2 years in the European Commission Joint Research Centre.
Santosh Tymms is a statistician at Quanticate. His role includes providing high-quality statistical support to clients, contributing to process improvement and knowledge sharing within the department and researching data quality oversight. Santosh has worked in medical statistics for 4 years following an MSc with Distinction from Lancaster University.
Sofia is a Senior Statistician at Quanticate and has five years of experience in the pharmaceutical industry. She did her BSc (Hons.) Mathematics and MSc in Statistics from Imperial College London, UK. Sofia has experience on a variety of indications across different phases and is involved with creating training for colleagues on various technical topics ranging from client and internal processes to implementation of stats analyses.
Laura studied for an MSc in Statistics with Medical Applications at Sheffield University. After graduating in 2016, she began her career as a statistician at Quanticate. Over the last four years she has provided statistical support on a broad range of clinical trials, from early clinical development through to Phase IIIb/4 in numerous therapeutic areas.
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