Bootstrapping of Corneal Optical Coherence Tomography Data to Investigate Conic Fit Robustness.

Bootstrapping techniques can be applied to extract uncertainties of characteristic model parameters and yield an estimate for robustness as an alternative to evaluating repeat measurements. Further studies are required to investigate whether bootstrap uncertainties accurately reproduce those from repeat measurement analysis.