Estimating reference intervals from an IPD meta-analysis using quantile regression
We proposed to use the quantile regression in the IPD meta-analysis to estimate the reference interval. Based on the simulation results, we identify an optimal bootstrap strategy for estimating the uncertainty of the estimated reference interval. An example of liver stiffness measurements, a clinically important diagnostic test without explicitly established reference range in children, is provided to demonstrate the use of quantile regression in estimating both overall and subject-specific reference intervals.
Authors
- Haitao Chu (ORCID: https://orcid.org/0000-0003-0932-598X)
- Ziren Jiang (ORCID: https://orcid.org/0000-0002-5830-327X)
- Lianne Siegel (ORCID: https://orcid.org/0000-0001-9440-9146)
- Mohammad Hassan Murad (ORCID: https://orcid.org/0000-0001-5502-5975)
- Zhen Wang (ORCID: https://orcid.org/0000-0002-9336-3067)
Institutions
- University of Minnesota (US)
- Pfizer (United States) (US)
- Mayo Clinic in Arizona (US)
Publication Details
- Journal
- BMC Medical Research Methodology
- Published
- 2024-10-26
- DOI
- https://doi.org/10.1186/s12874-024-02378-0
- Primary Topic
- Statistical Methods and Inference
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Institutes of Health