Abstract 34: Improve decision making in clinical trials through machine learning and EHR

Volume: 26, Pages: 34 - 34
Published: Jun 15, 2020
Abstract
One of the key contributors to the failure of oncology trials is patient selection bias. A bias that results in a lower observed efficacy in phase II may lead to a premature decision to abort a trial, whereas a bias in the positive direction may result in an expensive failure in phase III. We propose an approach in which RWE is used to model a proxy endpoint that is available in RWE but is also related to the endpoint in clinical trial, on...
Paper Details
Title
Abstract 34: Improve decision making in clinical trials through machine learning and EHR
Published Date
Jun 15, 2020
Volume
26
Pages
34 - 34
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