Optimal Dataset Sizes for Constant Optimization in Published Theoretical Optical Formulae

Langenbucher, Achim; Schwemm, Michael; Eppig, Timo; Schröder, Simon; Cayless, Alan and Szentmáry, Nóra (2021). Optimal Dataset Sizes for Constant Optimization in Published Theoretical Optical Formulae. Current Eye Research, 46(10) pp. 1589–1596.

DOI: https://doi.org/10.1080/02713683.2021.1900272

Abstract

Purpose: To determine the optimal number of data points required for optimization of formulae for classical lens power calculation.

Methods: A large dataset of preoperative biometric values was used to assess the convergence of formula constants in a number of established intraocular lens power calculation formulae.

Results: In formulae with a single constant, 80 to 100 clinical data points are sufficient to obtain convergence. The Haigis formula (3 constants), requires 200 to 300 data points although refractive error converges more rapidly.

Conclusions: In all formulae 80 to 100 clinical data points are sufficient to achieve a stable mean refractive error.

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• Item ORO ID
• 75696
• Item Type
• Journal Item
• ISSN
• 1460-2202
• Keywords
• Lens power calculation formulae; formula constant optimization; customized constants; convergence; mean absolute refraction error
• Academic Unit or School
• Faculty of Science, Technology, Engineering and Mathematics (STEM) > Physical Sciences
  Faculty of Science, Technology, Engineering and Mathematics (STEM)
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• © 2021 Taylor & Francis Group, LLC
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• Jisc Publications-Router
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