Collective endpoint of visual acuity and contrast sensitivity function from hierarchical Bayesian joint modeling
Clinical trials typically analyze multiple endpoints for signals of efficacy. To improve signal
detection for treatment effects using the high-dimensional data collected in trials, we …
detection for treatment effects using the high-dimensional data collected in trials, we …
Non-parametric hierarchical Bayesian modeling enables statistical inference on contrast sensitivity at individual spatial frequencies
Purpose: For consideration as a safety and efficacy endpoint in clinical trials, contrast
sensitivity (CS) must be measured at multiple spatial frequencies. We developed two non …
sensitivity (CS) must be measured at multiple spatial frequencies. We developed two non …
Non-parametric hierarchical Bayesian modeling of the contrast sensitivity function
The qCSF has been used to assess spatial vision in normal and clinical populations.
Because it uses the log parabola CSF model, the estimated contrast sensitivities (CSs) …
Because it uses the log parabola CSF model, the estimated contrast sensitivities (CSs) …
Hierarchical Bayesian modeling of contrast sensitivity functions in a within-subject design
Recent development of the quick contrast sensitivity function (qCSF) method has made it
possible to obtain accurate, precise, and efficient contrast sensitivity function (CSF) …
possible to obtain accurate, precise, and efficient contrast sensitivity function (CSF) …
Mapping the contrast sensitivity of the visual field with bayesian adaptive qVFM
Current clinical evaluation, which focuses on central vision, could be improved through
characterization of residual vision with peripheral testing of visual acuity, contrast sensitivity …
characterization of residual vision with peripheral testing of visual acuity, contrast sensitivity …
[HTML][HTML] Quantifying uncertainty of the estimated visual acuity behavioral function with hierarchical Bayesian modeling
Purpose: The goal of this study is to develop a hierarchical Bayesian model (HBM) to better
quantify uncertainty in visual acuity (VA) tests by incorporating the relationship between VA …
quantify uncertainty in visual acuity (VA) tests by incorporating the relationship between VA …
[HTML][HTML] Bayesian adaptive estimation of the contrast sensitivity function: the quick CSF method
The contrast sensitivity function (CSF) predicts functional vision better than acuity, but long
testing times prevent its psychophysical assessment in clinical and practical applications …
testing times prevent its psychophysical assessment in clinical and practical applications …
[HTML][HTML] Evaluating the performance of the quick CSF method in detecting contrast sensitivity function changes
The contrast sensitivity function (CSF) has shown promise as a functional vision endpoint for
monitoring the changes in functional vision that accompany eye disease or its treatment …
monitoring the changes in functional vision that accompany eye disease or its treatment …
The reliability of the quick CSF method for contrast sensitivity assessment in low vision
L Lesmes, J Wallis, ML Jackson… - … Ophthalmology & Visual …, 2013 - iovs.arvojournals.org
Purpose: The contrast sensitivity function (CSF) presents a better characteristic of functional
vision than visual acuity. The quick CSF is a novel adaptive method that greatly reduces …
vision than visual acuity. The quick CSF is a novel adaptive method that greatly reduces …
Bayesian inference of two-dimensional contrast sensitivity function from data obtained with classical one-dimensional algorithms is efficient
The contrast sensitivity function that spans the two dimensions of contrast and spatial
frequency is crucial in predicting functional vision both in research and clinical applications …
frequency is crucial in predicting functional vision both in research and clinical applications …