Improving how biomarkers predict Alzheimer's risk
Statistical methods for analyzing risk of Alzheimer's Disease and biomarker measurements
This project builds new statistical tools to make Alzheimer’s risk predictions and biomarker results clearer for people in Alzheimer's research studies.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Johns Hopkins University NIH-funded |
| Lab location | 1 site (Baltimore, United States) |
| Project ID | NIH-11332919 on NIH RePORTER |
What this research studies
Researchers will create improved mathematical and statistical methods and test them using large long-term Alzheimer’s studies such as BIOCARD, ABC-DS, and PAC. The work focuses on better handling of age-specific cases and problems like survivor bias that can skew results in cross-sectional and case-control data. It will also model how biomarkers change over time to improve predictions of who may develop mild cognitive impairment or Alzheimer’s dementia. These tools aim to help researchers spot people at higher risk so they can be monitored more closely or considered for treatments.
Who could benefit from this research
Good fit: Ideal candidates are older adults enrolled in Alzheimer’s cohort studies or people who have biomarker testing and are part of research programs tracking cognitive health.
Not a fit: People without biomarker data or those not enrolled in research cohorts are unlikely to receive direct benefits from this methods-focused project.
Why it matters
Potential benefit: If successful, the methods could help identify people at higher risk earlier so they can receive closer monitoring or be considered for preventive or early treatments.
How similar studies have performed: Related statistical approaches have improved risk prediction in other diseases, but applying methods specifically for age-specific prevalent Alzheimer’s cases and longitudinal biomarker trends is relatively novel.
Where this research is happening
Baltimore, United States
- Johns Hopkins University — Baltimore, United States (Active)
Researchers
- Principal investigator: Wang, Mei Cheng — Johns Hopkins University
- Study coordinator: Wang, Mei Cheng
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 below.