Evidence for generalizability of edaravone efficacy using a novel machine learning risk-based subgroup analysis tool

Volume: 23, Issue: 1-2, Pages: 49 - 57
Published: Jul 10, 2021
Abstract
Introduction: The edaravone development program for amyotrophic lateral sclerosis (ALS) included trials MCI186-16 (Study 16) and MCI186-19 (Study 19). A cohort enrichment strategy was based on a Study 16 post hoc analysis and applied to Study 19 to elucidate a treatment effect in that study. To determine whether the Study 19 results could be generalized to a broader ALS population, we used a machine learning (ML) model to create a novel...
Paper Details
Title
Evidence for generalizability of edaravone efficacy using a novel machine learning risk-based subgroup analysis tool
Published Date
Jul 10, 2021
Volume
23
Issue
1-2
Pages
49 - 57
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