Tuesday, June 14, 2022
Register to learn how using data-driven approaches to guide covariate adjustment – controlling for baseline patient variables to better estimate treatment effects – can improve clinical trials.
Key opinion leaders from Owkin, Bristol Myers Squibb, and CancerLinQ will discuss:
Key opinion leaders from Owkin, Bristol Myers Squibb, and CancerLinQ will discuss:
- How covariate adjustment reduces noise in clinical trials, and the challenges of using traditional methods for covariate selection
- The advantages machine learning and multimodal data bring to the covariate selection process
- A pharma case study highlighting the impact of data-driven covariate selection on trial outcomes
- How regulators' appetite for data-driven covariate adjustment is changing
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Moderator
Karen Tkach Tuzman, Ph.D.
Senior Editor, Head of Discovery & Preclinical Development
BioCentury
Panelists
Jean-Frédéric Petit-Nivard
Chief Commercial Officer
Owkin
Félix Balazard, Ph.D.
Lead Data Scientist
Owkin
David Paulucci
Director, Data Science
Bristol Myers Squibb
Sean Khozin, M.D.
Chief Executive Officer
CancerLinQ LLC & Executive Vice President, ASCO, Ex FDA