Biostatistical benchmarking of neuro-oncology trials
This study provides historical benchmarks for sample size assumptions to support more transparent, data-driven, and context-aware trial design. They may also serve as a resource for feasibility planning, protocol development, and statistical justification in future trials.
Authors
- Gina Genova (ORCID: https://orcid.org/0000-0003-0776-7995)
- Guneet Sarai
- Adrianna Masters (ORCID: https://orcid.org/0000-0001-7261-2477)
- Brian D. Snyder (ORCID: https://orcid.org/0000-0003-1482-9509)
- Isaac Josh Abecassis (ORCID: https://orcid.org/0000-0003-0511-806X)
- Rahim Abo Kasem (ORCID: https://orcid.org/0000-0002-9635-7471)
- Akshitkumar M. Mistry (ORCID: https://orcid.org/0000-0002-7918-5153)
- Brian Williams (ORCID: https://orcid.org/0000-0002-2158-643X)
- Lydia Leavitt
- Jonathan Beall
Institutions
- University of Louisville (US)
- Medical University of South Carolina (US)
- University of South Carolina (US)
- University of Louisville Hospital (US)
- University of Louisville Physicians (US)
Publication Details
- Journal
- Neuro-Oncology Advances
- Published
- 2025-12-09
- DOI
- https://doi.org/10.1093/noajnl/vdaf257
- Primary Topic
- Statistical Methods in Clinical Trials
- Type
- article
- Field-Weighted Citation Impact
- 0.00