The Parametric and Non-parametric Bootstrap Resamplings for the Visual Acuity Measurement

We propose a useful tool for the visual acuity measurement from the results of parametric and nonparametric bootstrap algorithms in the logistic regression model. We present the kurtosis and the variance of deviance residuals to estimate the efficiency of bootstrap resampling. We applied our parametric and nonparametric algorithms to the problem of the visual acuity measurement and obtained the efficiency measures for the comparison of the parametric and non-parametric bootstrap resamplings.