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: | Katelyn McKenzie |
| Institution: | University of Kansas Medical Center |
| Department: | Biostatistics & Data Science |
| Country: | |
| Proposed Analysis: | The objectives of this proposal are to advance statistical methodologies concerning agreement studies, which is the current methodologic tool for evaluating diagnostic tests and biomarkers. We will develop a novel statistical approach to assess factors associated with Alzheimer’s disease imaging status. Importantly, this statistical approach can be generalized for use to the greater medical community. Specifically, we will leverage brain images and subject characterizations from ADNI and recruit providers to assess these imaging biomarkers. By using this novel statistical methodology, we will identify features that drive agreement in the interpretation of brain images from ADNI as biomarkers for pre-clinical Alzheimer’s disease. |
| Additional Investigators | |
| Investigator's Name: | Jonathan Mahnken |
| Proposed Analysis: | The objectives of this proposal are to advance statistical methodologies concerning agreement studies, the current methodologic tool for evaluating diagnostic tests and biomarkers. We will develop a novel statistical approach to assess factors associated with Alzheimer’s disease imaging status. Importantly, this statistical approach will be generalizable to the greater medical community. Specifically, we will leverage brain images and subject characterizations from ADNI and recruit providers to assess these imaging biomarkers. In doing so, we will identify features that drive agreement in the interpretation of these images as biomarkers for pre-clinical Alzheimer’s disease. |
| Investigator's Name: | Jeffrey Burns |
| Proposed Analysis: | The objectives of this proposal are to advance statistical methodologies concerning agreement studies, the current methodologic tool for evaluating diagnostic tests and biomarkers. We will develop a novel statistical approach to assess factors associated with Alzheimer’s disease imaging status. Importantly, this statistical approach will be generalizable to the greater medical community. Specifically, we will leverage brain images and subject characterizations from ADNI and recruit providers to assess these imaging biomarkers. In doing so, we will identify features that drive agreement in the interpretation of these images as biomarkers for pre-clinical Alzheimer’s disease. |
