Using Hierarchical Bayesian Modeling to Enhance Statistical Inference on Contrast Sensitivity

The HBM presents a valuable tool for advancing CS assessments in the clinic and clinical trials, potentially improving the evaluation of treatment efficacy and patient outcomes.

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Publication Details

Journal
Translational Vision Science & Technology
Published
2024-12-12
DOI
https://doi.org/10.1167/tvst.13.12.17
Primary Topic
Reliability and Agreement in Measurement
Type
article
Field-Weighted Citation Impact
0.00
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article

Using Hierarchical Bayesian Modeling to Enhance Statistical Inference on Contrast Sensitivity

Zhong‐Lin Lu, Michael Dörr, Yukai Zhao
Translational Vision Science & Technology
Reliability and Agreement in Measurement
article

Using Hierarchical Bayesian Modeling to Enhance Statistical Inference on Contrast Sensitivity

Zhong‐Lin Lu, Michael Dörr, Yukai Zhao
article en

Abstract

The HBM presents a valuable tool for advancing CS assessments in the clinic and clinical trials, potentially improving the evaluation of treatment efficacy and patient outcomes.

Translational Vision Science & TechnologyVol. 13(12)
New York University Shanghai (CN), Sensory (United States) (US), New York University (US)
Openalex Percentile: Top 77%
Reliability and Agreement in Measurement
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