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: | CONG Huiwen |
| Institution: | Weifang Medical College |
| Department: | School of Public Health |
| Country: | |
| Proposed Analysis: | Combining longitudinal data and survival data to build a joint latent class model to explore the trajectory of cognitive change prior to dementia in older adults.The purpose of determining the number of optimal latent class and assigning each individual to a different latent class is to identify the priority population for cognitive interventions and to provide a theoretical basis for cognitive impairment prevention and health policy formulation for older adults.To evaluate the trajectory and predictive value of longitudinal markers based on the characteristics of different latent class of covariates and outcome variables in the elderly population and to provide a powerful dynamic predictive tool. |
| Additional Investigators | |
| Investigator's Name: | Wang Lianyuan |
| Proposed Analysis: | Combining longitudinal data and survival data to build a joint latent class model to explore the trajectory of cognitive change prior to dementia in older adults.The purpose of determining the number of optimal latent class and assigning each individual to a different latent class is to identify the priority population for cognitive interventions and to provide a theoretical basis for cognitive impairment prevention and health policy formulation for older adults.To evaluate the trajectory and predictive value of longitudinal markers based on the characteristics of different latent class of covariates and outcome variables in the elderly population and to provide a powerful dynamic predictive tool. |
| Investigator's Name: | Yang Yi |
| Proposed Analysis: | Combining longitudinal data and survival data to build a joint latent class model to explore the trajectory of cognitive change prior to dementia in older adults.The purpose of determining the number of optimal latent class and assigning each individual to a different latent class is to identify the priority population for cognitive interventions and to provide a theoretical basis for cognitive impairment prevention and health policy formulation for older adults.To evaluate the trajectory and predictive value of longitudinal markers based on the characteristics of different latent class of covariates and outcome variables in the elderly population and to provide a powerful dynamic predictive tool. |
