There are many active research projects accessing and applying shared ADNI data. Use the search above to find specific research focuses on the active ADNI investigations. This information is requested annually as a requirement for data access.
| Principal Investigator | |
| Principal Investigator's Name: | Melinda Power |
| Institution: | George Washington University |
| Department: | Epidemiology |
| Country: | |
| Proposed Analysis: | Although cardiovascular risk factor management is among the most promising intervention strategies, there is considerable uncertainty about the optimal eligibility criteria, intervention details, duration, or outcome assessments for launching randomized controlled trials (RCTs) for Alzheimer’s disease (AD) prevention. The purpose of this research activity is to develop a unified and flexible AD prevention simulation model by taking advantage of recent developments in causal methods of data integration. Specifically, I will use de-identified existing data from 8 different sources (i.e., Atherosclerosis Risk in Communities (ARIC), Cardiovascular Health Study (CHS), Health and Retirement Study (HRS), English Longitudinal Study of Ageing (ELSA), Kaiser Permanente Northern California (Kaiser), UK Biobank (UKB), Danish Registries Data (DRD), Alzheimer’s Disease Neuroimaging Initiative (ADNI)) to simulate effects of hypothetical trials and thereby provide specific guidance for development of effective RCTs for AD prevention I hypothesize that sub-optimal RCT design, not bias in observational studies, accounts for the fact that extant RCTs do not demonstrate clear benefit of vascular risk factor management for AD prevention. Our intent is to submit our findings for presentation at conferences and to publish our findings in peer-reviewed journals |
| Additional Investigators | |
| Investigator's Name: | Kan Gianattasio |
| Proposed Analysis: | Same Project |
| Investigator's Name: | Erin Bennett |
| Proposed Analysis: | Same project - will do code check |
| Investigator's Name: | Emma Stapp |
| Proposed Analysis: | Extend generalizability work to estimate prevalence of biomarker positivity at the national level |
