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: | Roxy Chen |
| Institution: | Jinan University |
| Department: | Department of Statistics and Data Science |
| Country: | |
| Proposed Analysis: | Based on the longitudinal data of ADNI, the Simple Mental State Scale (MMSE) is used as the longitudinal cognitive function evaluation index to evaluate the longitudinal changes of cognitive function. The joint model is used to analyze the relationship between the change trajectory of the longitudinal cognitive function evaluation index and the survival outcome of Alzheimer's disease (AD), and the risk prediction model of AD in the elderly is constructed. The linear mixed model is used to model the change trajectory of the longitudinal evaluation index, and the proportional risk model is used to model the survival process. The two sub-models are linked by the association parameter (α). However, the mixed random effects model in the longitudinal submodel needs to make a variety of assumptions about the data, such as the normality hypothesis. These assumptions are mathematically convenient but not necessarily satisfying, so the results can be biased. Therefore, I consider using machine learning instead of linear mixed effects model for regression analysis. The joint model of machine learning is compared with the traditional joint model. |
| Additional Investigators |
