This federal Project Grant award, provided by the National Institute on Aging (NIA) under the Aging Research program (CFDA 93.866), aims to develop and apply advanced statistical methods to improve scientific inferences in Alzheimer's disease (AD) research. The key products and services to be delivered through this $455,274 award made to The Johns Hopkins University include: Developing efficient and statistically proper methods to better model, estimate, and predict the risk of AD incidence and longitudinal biomarker outcomes. This includes approaches to handle age-specific prevalent cases, analyze age at biomarker positivity and time to clinical symptom onset, and model biomarker trajectories prior to symptom emergence. Applying these methodological innovations to three large-scale AD studies (BIOCARD, ABC-DS, PAC) to improve identification of high-risk individuals for targeted monitoring or treatment. The statistical advances are expected to enhance scientific inferences and enable more effective disease prediction and prevention strategies. The award period runs from May 2025 through January 2030, reflecting the comprehensive and collaborative nature of this research effort to advance Alzheimer's disease understanding through rigorous quantitative analysis.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $455.3k | 5/7/25 |