A non-parametric approach to predict the recruitment for randomized clinical trials: an example in elderly inpatient settings
The results demonstrate the feasibility and flexibility for a resampling-based, non-parametric approach for prediction of clinical trial recruitment with limited early enrollment data. Application to a wider setting and long-term prediction accuracy require further investigation.
Authors
- Yong‐Fang Kuo (ORCID: https://orcid.org/0000-0003-1927-0927)
- Alejandro Villasante‐Tezanos (ORCID: https://orcid.org/0000-0001-5108-8637)
- Xiaoying Yu (ORCID: https://orcid.org/0000-0003-1659-2365)
- Yisheng Li (ORCID: https://orcid.org/0000-0001-9847-8544)
- Christopher Kurinec
Institutions
- The University of Texas MD Anderson Cancer Center (US)
- The University of Texas Medical Branch at Galveston (US)
Publication Details
- Journal
- BMC Medical Research Methodology
- Published
- 2024-08-29
- DOI
- https://doi.org/10.1186/s12874-024-02314-2
- Citations
- 2
- Primary Topic
- Health Systems, Economic Evaluations, Quality of Life
- Type
- article
- Field-Weighted Citation Impact
- 2.26
Funders
- National Institute on Aging