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: | Katherine Houghton |
Institution: | RTI Health Solutions |
Department: | Health Economics |
Country: | |
Proposed Analysis: | RTI Health Solutions are working in collaboration with Eisai to identify a best-practices cost-effectiveness modeling approach that can be used in patients at different stages of mild cognitive impairment and Alzheimer's disease. The ADNI data will be reviewed to identify the extent to which there is data to estimate credible transition rates and other CE model input parameters for the recommended model structure. Such data will include natural history and biomarker data. If the data can be used for the CE model, RTI Health Solutions will use it within the CE model. |
Additional Investigators | |
Investigator's Name: | Amir Abbas Tahami Monfared |
Proposed Analysis: | Derive ADCOMS values to delineate the staging of cognitive decline across the predementia and AD continuum |
Investigator's Name: | Quanwu Zhang |
Proposed Analysis: | Derive ADCOMS values to delineate the staging of cognitive decline across the predementia and AD continuum |
Investigator's Name: | Josephine Mauskopf |
Proposed Analysis: | Derive ADCOMS values to delineate the staging of cognitive decline across the predementia and AD continuum |