Development, validation, and usage of metrics to evaluate the quality of clinical research hypotheses
The validated brief and comprehensive versions of metrics can provide standardized, consistent, systematic, and generic measurements for clinical research hypotheses, allow clinical researchers to prioritize their research ideas systematically, objectively, and consistently, and can be used as a tool for quality assessment during the peer review process.
Authors
- Jay H. Shubrook (ORCID: https://orcid.org/0000-0001-5173-2656)
- Vimla L. Patel (ORCID: https://orcid.org/0000-0003-1656-6642)
- Aneesa Weaver
- Xia Jing (ORCID: https://orcid.org/0000-0002-1916-4588)
- Yuchun Zhou (ORCID: https://orcid.org/0000-0002-0925-5507)
- James J. Cimino (ORCID: https://orcid.org/0000-0003-4101-1622)
- Sonsoles De Lacalle (ORCID: https://orcid.org/0000-0001-9594-698X)
- Chang Liu (ORCID: https://orcid.org/0000-0001-8033-9546)
Institutions
- New York Academy of Medicine (US)
- University of Alabama (US)
- California State University, Channel Islands (US)
- Touro University California (US)
- Ohio University (US)
- Clemson University (US)
Publication Details
- Journal
- BMC Medical Research Methodology
- Published
- 2025-01-16
- DOI
- https://doi.org/10.1186/s12874-025-02460-1
- Citations
- 2
- Primary Topic
- Meta-analysis and systematic reviews
- Type
- article
- Field-Weighted Citation Impact
- 1.40
Funders
- Clemson University
- National Institutes of Health
- National Institute of General Medical Sciences
- U.S. National Library of Medicine