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Lookup NU author(s): Dr Svetlana CherlinORCiD, Professor James WasonORCiD
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
© 2024 The AuthorsWe propose a Cross-validated ADaptive ENrichment design (CADEN) in which a trial population is enriched with a subpopulation of patients who are predicted to benefit from the treatment more than an average patient (the sensitive group). This subpopulation is found using a risk score constructed from the baseline (potentially high-dimensional) information about patients. The design incorporates an early stopping rule for futility. Simulation studies are used to assess the properties of CADEN against the original (non-enrichment) cross-validated risk scores (CVRS) design which constructs a risk score at the end of the trial. We show that when there exists a sensitive group of patients, CADEN achieves a higher power and a reduction in the expected sample size compared to the CVRS design. We illustrate the application of the design in two real clinical trials. We conclude that the new design offers improved statistical efficiency over the existing non-enrichment method, as well as increased benefit to patients. The method has been implemented in an R package caden.
Author(s): Cherlin S, Wason JMS
Publication type: Article
Publication status: Published
Journal: Contemporary Clinical Trials
Year: 2024
Volume: 144
Print publication date: 01/09/2024
Online publication date: 06/07/2024
Acceptance date: 03/07/2024
Date deposited: 22/07/2024
ISSN (print): 1551-7144
ISSN (electronic): 1559-2030
Publisher: Elsevier Inc.
URL: https://doi.org/10.1016/j.cct.2024.107620
DOI: 10.1016/j.cct.2024.107620
Data Access Statement: The software package is provided. The real data used in this article are publicly available.
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