Figure - PMC

Skip to main content

An official website of the United States government

Here's how you know

Here's how you know

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

View full-text article in PMC

. 2024 Mar 5;65(3):3. doi: 10.1167/iovs.65.3.3

Search in PMC
Search in PubMed
View in NLM Catalog
Add to search

Copyright 2024 The Authors

This work is licensed under a Creative Commons Attribution 4.0 International License.

PMC Copyright notice

Figure 4. — A combined linear model based on quantitative metrics of foveal structure predicts BCVA in albinism more accurately than categorical foveal hypoplasia grade. The correlation between predicted BCVA (BCVA_pred) and observed BCVA (BCVA_obs) was moderate for the predictive model based on categorical foveal hypoplasia grade (A, R = 0.622), but was stronger for the combined linear model based on quantitative structural metrics (B, R = 0.736). In panels A and B, dashed lines show where BCVA_pred = BCVA_obs (i.e., perfect agreement between predicted and observed BCVA). When we plotted the difference between predicted and observed BCVA (BCVA_pred – BCVA_obs) against the average of predicted and observed BCVA (BCVA_mean), there was a negative trend in the bias for both the categorical predictive model (C) and the combined linear model (D); however, this trend was reduced in the combined linear model. In panels C and D, solid lines show bias, dashed lines show limits of agreement, and shaded gray areas show the 95% confidence intervals of the bias and limits of agreement.