Q-Finder: An Algorithm for Credible Subgroup Discovery in Clinical Data Analysis — An Application to the International Diabetes Management Practice Study

Q-Finder: An Algorithm for Credible Subgroup Discovery in Clinical Data Analysis — An Application to the International Diabetes Management Practice Study

Addressing the heterogeneity of both the outcome of a disease and the treatment response to an intervention is a mandatory pathway for regulatory approval of medicines. In randomized clinical trials (RCTs), confirmatory subgroup analyses focus on the assessment of drugs in predefined subgroups, whil...

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Bibliographic Details
Main Authors: Cyril Esnault, May-Line Gadonna, Maxence Queyrel, Alexandre Templier, Jean-Daniel Zucker
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-12-01
Series:Frontiers in Artificial Intelligence
Subjects:
exploratory subgroup analysis
subgroup discovery
precision medicine
predictive factor
prognostic factor
credibility criteria
Online Access:https://www.frontiersin.org/articles/10.3389/frai.2020.559927/full

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