Jackknife and bootstrapping resampling techniques to evaluate the precision of lens formula constants
The distributions of formula constants with relevant benchmarks such as SD or confidence intervals can be derived with jackknife and bootstrap resampling techniques, offering potential advantages over direct formula reversion which yields skewed distributions, making central metrics such as the formula constant distribution mean unsuitable for constant optimisation.
Authors
- Thomas Olsen (ORCID: https://orcid.org/0000-0003-0543-6033)
- Jascha Wendelstein (ORCID: https://orcid.org/0000-0003-4145-2559)
- Achim Langenbucher (ORCID: https://orcid.org/0000-0001-9175-6177)
- Nóra Szentmáry (ORCID: https://orcid.org/0000-0001-8019-1481)
- Alan Cayless (ORCID: https://orcid.org/0000-0003-0779-7449)
- Pia Lyngby Hoffmann
Institutions
- Semmelweis University (HU)
- The Open University (GB)
- Rütgers (Germany) (DE)
- Ludwig-Maximilians-Universität München (DE)
- Saarland University (DE)
Publication Details
- Journal
- Acta Ophthalmologica
- Published
- 2025-05-15
- DOI
- https://doi.org/10.1111/aos.17522
- Primary Topic
- Ophthalmology and Visual Impairment Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00