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: | Jing Guo |
| Institution: | Renmin University of China |
| Department: | Statistics School |
| Country: | |
| Proposed Analysis: | Quantile Scalar on Image Regression With Nonignorable Nonresponse. This paper considers a quantile latent factor-on-image (Q-LoI) regression model to comprehensively investigate the relationship between the latent factor of interest and scalar and imaging predictors at different quantiles. The latent factor is characterized by several manifest variables through a confirmatory factor analysis model and then regressed on scalar and imaging covariates. We propose a two-stage method to conduct statistical inference. The first stage extracts leading features from the imaging data through the functional principal component analysis (FPCA) method. |
| Additional Investigators |
