Performance of Linear Mixed Models in Estimating Structural Rates of Glaucoma Progression Using Varied Random Effect Distributions is a research paper published in Ophthalmology Science (2023). On theSindex it has a DataRank of 0. It has been cited 8 times.
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American Glaucoma Society
Grant: EY029885
American Glaucoma Society
Grant: EY031898
National Eye Institute
Grant: K23 EY033831
NEI NIH HHS
Grant: R21 EY031898
NEI NIH HHS
Grant: K99 EY033027
NEI NIH HHS
Grant: R01 EY029885
National Institutes of Health
Grant: 1K99EY033027-01
Development of a program to assess and treat distress in glaucoma patients using an automated EHR-derived AI algorithm
National Institutes of Health
Grant: 5K23EY033831-03
Improving Individualized Assessments of Glaucoma Progression with Population-Based Electronic Health Record Data
National Institutes of Health
Grant: 5R01EY029885-04
The BCI (Brain Computer Interface) Glaucoma Study: Objective Home-Based Detection of Progressive Visual Function Loss in Glaucoma
National Institutes of Health
University of Miami
American Glaucoma Society
FWCI
1.79
Citation Percentile
0.9%
Citation Trend
Fields of Study
Keywords