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: | Fushing Hsieh |
| Institution: | UC Davis |
| Department: | Statistics |
| Country: | |
| Proposed Analysis: | We want to analyze data from the Alzheimer's Disease Neuroimaging Initiative (ADNI) to explicitly unravel prognostic heterogeneity regarding subjects' time from disease-free state of cognitive normal (CN) to pre-dementia state of mild cognitive impairment (MCI). Potentially many relevant perspectives of heterogeneity are selected based on conditional entropy and mutual information measurements that are employed to assess likely nonlinear association between time-to-event and 16 time-independent test scores, measurements and demographic features. Each selected perspective heterogeneity is underwent an explicitly illustration via distinct precise and effective characterizations of subjects' time-to-event across multiple sub-collections of subjects defined by selected factors' categories. We utilize such a contingency table platform to check whether the censoring mechanism in this ADNI data is informative or not by demonstrating visible dependence between time-to-event and censoring time variable. This informative would censoring render the violation Cox proportional hazard model assumption, which is a most popular time-to-event data analysis in Alzheimer's Disease study. |
| Additional Investigators |
