Using Hierarchical Bayesian Modeling to Enhance Statistical Inference on Contrast Sensitivity
Yukai Zhao, Luis Andres Lesmes, Michael Dorr, Zhong-Lin Lu · 2024
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Description
Yukai Zhao and co-authors bring a stronger statistics tool to eye testing, in a 2024 paper. The test measures contrast sensitivity: how faint a pattern a person can still see, checked at several pattern sizes. Drug trials lean on these scores to judge safety and benefit, yet trial data are noisy and tangled across sizes.
Their model stacks levels, from the whole group down to each test, and lets scores at one size inform the rest. On data from 112 people, it gave tighter estimates and steadier repeat readings than a size-by-size method. It also spotted real changes in single patients more often and gave group tests more power.
Catalog record
| CREATOR | Yukai Zhao, Luis Andres Lesmes, Michael Dorr, Zhong-Lin Lu |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 38 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |