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Methods December 2024

Using Hierarchical Bayesian Modeling to Enhance Statistical Inference on Contrast Sensitivity

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Yukai Zhao; Luis Andres Lesmes; Michael Dorr; Zhong-Lin Lu
TAGS: carotid sinus syncope, churg-strauss syndrome, contrast sensitivity, inference, luminance, datasets
Trans. Vis. Sci. Tech.. 2024; 13(12):17. https://doi.org/10.1167/tvst.13.12.17

Includes: Supplemental Content

Visual Psychophysics and Physiological Optics October 2024

Quantifying the Functional Relationship Between Visual Acuity and Contrast Sensitivity Function

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Zhong-Lin Lu; Yukai Zhao; Luis Andres Lesmes; Michael Dorr
TAGS: colony-stimulating factors, contrast sensitivity, visual acuity, eye, spatial frequency
Invest. Ophthalmol. Vis. Sci.. 2024; 65(12):33. https://doi.org/10.1167/iovs.65.12.33

Includes: Supplemental Content

Vision Sciences Society Annual Meeting Abstract September 2024

Identifying Component Processes in Perceptual Learning with Non-parametric Bayesian Modeling of the Learning Curve in a Yes-No task with Method of Constant Stimuli

Yukai Zhao; Jia Yang; Fang-Fang Yan; Chang-Bing Huang; Barbara Anne Dosher; Zhong-Lin Lu

Journal of Vision. 2024; 24(10):750. https://doi.org/10.1167/jov.24.10.750

ARVO Annual Meeting Abstract June 2024

Quantifying the Functional Relationship between Visual Acuity and Contrast Sensitivity Function

Zhong-Lin Lu; Yukai Zhao; Luis A Lesmes; Michael Dorr

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):5456.

ARVO Annual Meeting Abstract June 2024

Reducing Test-Retest Variability of the E-ETDRS Test with Hierarchical Bayesian Modeling

Yukai Zhao; Luis A Lesmes; Michael Dorr; Zhong-Lin Lu

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):5463.

Methods May 2024

Enabling identification of component processes in perceptual learning with nonparametric hierarchical Bayesian modeling

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Yukai Zhao; Jiajuan Liu; Barbara Anne Dosher; Zhong-Lin Lu
TAGS: learning, perceptual learning, training, temporal resolution
Journal of Vision. 2024; 24(5):8. https://doi.org/10.1167/jov.24.5.8

Includes: Supplemental Content

Vision Sciences Society Annual Meeting Abstract August 2023

Non-parametric Hierarchical Bayesian Modeling of the Contrast Sensitivity Function

Yukai Zhao; Luis Andres Lesmes; Michael Dorr; Zhong-Lin Lu

Journal of Vision. 2023; 23(9):5312. https://doi.org/10.1167/jov.23.9.5312

Vision Sciences Society Annual Meeting Abstract August 2023

Non-parametric Hierarchical Bayesian Modeling of the Learning Curve in Perceptual Learning

Zhong-Lin Lu; Yukai Zhao; Jiajuan Liu; Barbara Dosher

Journal of Vision. 2023; 23(9):5752. https://doi.org/10.1167/jov.23.9.5752

Methods June 2023

Collective endpoint of visual acuity and contrast sensitivity function from hierarchical Bayesian joint modeling

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Yukai Zhao; Luis Andres Lesmes; Michael Dorr; Zhong-Lin Lu
TAGS: contrast sensitivity, eye, visual acuity, specificity of diagnostic test, inference, heterogeneity of variance, datasets
Journal of Vision. 2023; 23(6):13. https://doi.org/10.1167/jov.23.6.13

Includes: Supplemental Content

ARVO Annual Meeting Abstract June 2023

Big data analytics in small sample sizes: collective analysis of visual acuity and contrast sensitivity endpoints

Luis A Lesmes; Michael Dorr; Yukai Zhao; Zhong-Lin Lu

Invest. Ophthalmol. Vis. Sci.. 2023; 64(8):3340.

ARVO Annual Meeting Abstract June 2023

Quantification of Information Gain in Visual Acuity Tests

Zhong-Lin Lu; Yukai Zhao; Luis A Lesmes; Michael Dorr

Invest. Ophthalmol. Vis. Sci.. 2023; 64(8):4993.

ARVO Annual Meeting Abstract June 2023

Non-parametric Hierarchical Bayesian Modeling Enables Statistical Inference on Contrast Sensitivity at Individual Spatial Frequencies

Yukai Zhao; Luis A Lesmes; Michael Dorr; Zhong-Lin Lu

Invest. Ophthalmol. Vis. Sci.. 2023; 64(8):4988.

Vision Sciences Society Annual Meeting Abstract December 2022

Hierarchical Bayesian modeling of training accuracy and feedback interaction in perceptual learning in a between-subject design

Yukai Zhao; Jiajuan Liu; Barbara Anne Dosher; Zhong-Lin Lu

Journal of Vision. 2022; 22(14):3368. https://doi.org/10.1167/jov.22.14.3368

ARVO Annual Meeting Abstract June 2022

Visual acuity screen failures based on Snellen, ETDRS, and qVA Testing

Yukai Zhao; Luis A Lesmes; Michael Dorr; Zhong-Lin Lu

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):2556 – F0510.

ARVO Annual Meeting Abstract June 2022

Predicting contrast sensitivity functions with digital twins generated by Hierarchical Bayesian modelling

Zhong-Lin Lu; Yukai Zhao; Luis A Lesmes; Michael Dorr

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):2328.

ARVO Annual Meeting Abstract June 2022

Modeling the relationship between VA measured with Snellen and ETDRS standards

Michael Dorr; Yukai Zhao; Luis A Lesmes; Zhong-Lin Lu

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):2554 – F0508.

Methods November 2021

Hierarchical Bayesian modeling of contrast sensitivity functions in a within-subject design

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Yukai Zhao; Luis Andres Lesmes; Fang Hou; Zhong-Lin Lu
TAGS: contrast sensitivity, luminance, inference, datasets
Journal of Vision. 2021; 21(12):9. https://doi.org/10.1167/jov.21.12.9

Methods October 2021

Quantifying Uncertainty of the Estimated Visual Acuity Behavioral Function With Hierarchical Bayesian Modeling

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Yukai Zhao; Luis Andres Lesmes; Michael Dorr; Zhong-Lin Lu
TAGS: visual acuity, datasets, goodness of fit
Trans. Vis. Sci. Tech.. 2021; 10(12):18. https://doi.org/10.1167/tvst.10.12.18

Includes: Supplemental Content

Vision Sciences Society Annual Meeting Abstract September 2021

Hierarchical Bayesian modeling of mixed training accuracy effects in perceptual learning

Zhong-Lin Lu; Yukai Zhao; Jiajuan Liu; Barbara Dosher

Journal of Vision. 2021; 21(9):2219. https://doi.org/10.1167/jov.21.9.2219

Vision Sciences Society Annual Meeting Abstract September 2021

Hierarchical Bayesian modeling of training accuracy and feedback interaction in perceptual learning

Yukai Zhao; Jiajuan Liu; Barbara Anne Dosher; Zhong-Lin Lu

Journal of Vision. 2021; 21(9):2214. https://doi.org/10.1167/jov.21.9.2214

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Using Hierarchical Bayesian Modeling to Enhance Statistical Inference on Contrast Sensitivity

Quantifying the Functional Relationship Between Visual Acuity and Contrast Sensitivity Function

Identifying Component Processes in Perceptual Learning with Non-parametric Bayesian Modeling of the Learning Curve in a Yes-No task with Method of Constant Stimuli

Quantifying the Functional Relationship between Visual Acuity and Contrast Sensitivity Function

Reducing Test-Retest Variability of the E-ETDRS Test with Hierarchical Bayesian Modeling

Enabling identification of component processes in perceptual learning with nonparametric hierarchical Bayesian modeling

Non-parametric Hierarchical Bayesian Modeling of the Contrast Sensitivity Function

Non-parametric Hierarchical Bayesian Modeling of the Learning Curve in Perceptual Learning

Collective endpoint of visual acuity and contrast sensitivity function from hierarchical Bayesian joint modeling

Big data analytics in small sample sizes: collective analysis of visual acuity and contrast sensitivity endpoints

Quantification of Information Gain in Visual Acuity Tests

Non-parametric Hierarchical Bayesian Modeling Enables Statistical Inference on Contrast Sensitivity at Individual Spatial Frequencies

Hierarchical Bayesian modeling of training accuracy and feedback interaction in perceptual learning in a between-subject design

Visual acuity screen failures based on Snellen, ETDRS, and qVA Testing

Predicting contrast sensitivity functions with digital twins generated by Hierarchical Bayesian modelling

Modeling the relationship between VA measured with Snellen and ETDRS standards

Hierarchical Bayesian modeling of contrast sensitivity functions in a within-subject design

Quantifying Uncertainty of the Estimated Visual Acuity Behavioral Function With Hierarchical Bayesian Modeling

Hierarchical Bayesian modeling of mixed training accuracy effects in perceptual learning

Hierarchical Bayesian modeling of training accuracy and feedback interaction in perceptual learning

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