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: | Shanshan SONG |
| Institution: | The Chinese university of Hong Kong |
| Department: | Department of Statistics |
| Country: | |
| Proposed Analysis: | I consider the statistical inference for high-dimensional linear model with block missing covariates. The ADNI data is this kind of data. I hope my proposed method could help identify which biomarkers are important and meanwhile, which type data in ADNI data is helpful to identify AD. |
| Additional Investigators | |
| Investigator's Name: | Yuanyuan LIN |
| Proposed Analysis: | The semi-supervised integrated inference for high-dimensional linear model with block missing covariates is considered. We can use our method to identify which biomarkers are important and the corresponding inference will be conducted. |
