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: | Dongrak Choi |
| Institution: | Duke University |
| Department: | Biostatistics |
| Country: | |
| Proposed Analysis: | During the long follow-up period of AD studies, sporadic missing data are ubiquitous. When missingness is associated with the unobserved underlying response process (e.g., sicker patients are more likely to miss visits or drop out), the missing data are missing not at random (MNAR, or non-ignorable). The missing data can be either monotone or intermittent. To handle non-ignorable intermittent missing data imputation, we will use a parametric joint modeling of multivariate longitudinal model and survival data from ADNI study. Using Heckman’s imputation model, each missing observation is imputed multiple times, and Rubin's rule will be applied to obtain the valid results. |
| Additional Investigators |
