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: | Ming-Hui Chen |
| Institution: | University of Connecticut |
| Department: | Statistics |
| Country: | |
| Proposed Analysis: | Our manuscript, which is in late development, aims to apply our methodology to estimate the cumulative probability of the time to pathological development of Alzheimer's disease (AD) using outcomes of the cognitive based test (error-prone). Specifically, the cerebral spinal fluid assay (gold standard) is not available for all subjects, while the cognitive based test (error-prone) is available for all subjects. In such a framework, our research can be used to correctly estimate the cumulative probability of the time to pathological development of AD by using only a fraction of subjects with both the gold standard test and error-prone test. Hence, the possibility of reducing the financial burden in the clinical studies of AD. |
| Additional Investigators |
