Nonparametric Methods to Address questions in Aging with Real-World and Research Data
Official title: Nonparametric Methods to Address Scientific Questions in Aging Integrating Real-World and Research Databases
Funded at Kaiser Foundation Research Institute · NIH-11427628 · Data updated 2026-11-12
A research project will use real-world medical records and research data to build better tools for understanding aging, eye disease, and dementia in adults.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Kaiser Foundation Research Institute NIH-funded |
| Lab location | 1 site (Oakland, UNITED STATES) |
| Project start | September 3, 2026 |
| Project end | June 30, 2031 |
| Funding year | 2026 |
| Award (this year) | $830,868 |
| NIH project number | 1R01AG103351-01 |
| Project ID | NIH-11427628 on NIH RePORTER |
Who could benefit from this research
✓Could help
Adults aged 21 and older who have or are at risk for age-related macular degeneration and Alzheimer’s disease or related dementias, and whose EHR data may be used for research.
✕Less likely to help
Patients whose data quality is too limited or who do not meet the study’s data access criteria may derive no direct benefit.
What this research studies
This project focuses on using electronic health records from routine care to study how eye health and brain aging relate, especially AMD and dementia risk. It will develop nonparametric, machine-learning methods to make analyses more accurate when data quality varies and when some outcomes are only partially measured. The team will work on improving how inverse-probability weighting is applied, how validation studies for causal conclusions are designed, and how prediction models are evaluated. The goal is to produce more reliable disease insight from mixed-quality EHR data that can inform patient care and future research.
Why it matters
Potential benefit: If successful, clinicians and researchers could rely on more accurate analyses of eye-brain aging, leading to better risk prediction and early interventions for AMD and ADRD.
How similar studies have gone: Prior work shows promise in improving estimation with mixed-quality data, but this project advances methodology for more robust analyses in aging and ophthalmology.
Where this research is happening
-
Kaiser Foundation Research Institute
Oakland, United States Active
Researchers
- Principal investigator: Williamson, Brian David — Kaiser Foundation Research Institute
- Study coordinator: Williamson, Brian David
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About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page.