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Activity Number: 130 - Statistical Methods for Time-To-Event Data and Applications
Type: Contributed
Date/Time: Monday, July 29, 2019 : 8:30 AM to 10:20 AM
Sponsor: Biopharmaceutical Section
Abstract #304418 Presentation
Title: An Approach to Increase Power in Immuno-Oncology Trials When Non-Proportional Hazard Is Present
Author(s): Nan Jia*
Companies: Sanofi US
Keywords: non-proportional hazard; immuno-oncology; power; clinical trial
Abstract:

With the advent of immunotherapy, in which non-proportional hazard is present, traditional logrank test no longer provides optimal power in detecting treatment effect, and Cox proportional-hazard model no longer appropriately describes treatment effect. Many researches have proposed novel and powerful tests, but they may rely on prior knowledge of the survival curve of the experimental drug. In this presentation, we explore a new method that directly models the non-proportional hazard ratio function. Simulation results from sensitivity analysis and comparisons with commonly used methods will be presented.


Authors who are presenting talks have a * after their name.

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