Performance of Two-Phase Designs for the Time-to-Event Outcome and a Case Study Assessing the Relapse Risk Associated With B-ALL Subtypes
Recommendations for selecting two-phase designs and analysis methods are regarding power, bias of estimated effect size, and computational time.
Authors
- Karen R. Rabin (ORCID: https://orcid.org/0000-0002-4081-8195)
- Mignon L. Loh (ORCID: https://orcid.org/0000-0003-4099-4700)
- Gang Wu (ORCID: https://orcid.org/0000-0003-4379-7964)
- Stephen P. Hunger (ORCID: https://orcid.org/0000-0002-5492-3957)
- Elizabeth A. Raetz (ORCID: https://orcid.org/0000-0002-8547-1658)
- Charles Grenfell Mullighan (ORCID: https://orcid.org/0000-0002-1871-1850)
- Nilsa C. Ramirez (ORCID: https://orcid.org/0000-0002-9945-9449)
- Wenan Chen (ORCID: https://orcid.org/0000-0003-0379-2368)
- Ti‐Cheng Chang (ORCID: https://orcid.org/0000-0001-5302-9147)
- Meenakshi Devidas (ORCID: https://orcid.org/0000-0002-1099-3478)
Institutions
- Seattle Children's Hospital (US)
- St. Jude Children's Research Hospital (US)
- Nationwide Children's Hospital (US)
- Children's Hospital of Philadelphia (US)
- Baylor College of Medicine (US)
- NYU Langone Health (US)
- Fred Hutch Cancer Center (US)
- Mayo Clinic in Florida (US)
- NYU Langone’s Laura and Isaac Perlmutter Cancer Center
- University of Pennsylvania (US)
Publication Details
- Journal
- JCO Clinical Cancer Informatics
- Published
- 2025-05-01
- DOI
- https://doi.org/10.1200/cci-24-00223
- Primary Topic
- Statistical Methods in Clinical Trials
- Type
- article
- Field-Weighted Citation Impact
- 0.00