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: | Arkaprabha Ganguli |
Institution: | Michigan State University |
Department: | Statistics and Probability |
Country: | |
Proposed Analysis: | High dimension valariable selection with nonrandom nonresponse The final motivation of our research is to examine which part of the brain (in voxel level) is significant for developing Alzheimer’s disease. In this research we must deal with the following two challenging issues: 1) nonrandom missingness in RAVLT score (ignoring which can cause serious bias in the result), 2) high dimensional imaging data. In statistics and neuroimaging literature, there are ample room for new scalable method for this high-dimensional variable selection problem with nonrandom nonresponse and our research has the potential to fill the void. |
Additional Investigators | |
Investigator's Name: | David Todem |
Proposed Analysis: | High dimension valariable selection with nonrandom nonresponse The final motivation of our research is to examine which part of the brain (in voxel level) is significant for developing Alzheimer’s disease. In this research we must deal with the following two challenging issues: 1) nonrandom missingness in RAVLT score (ignoring which can cause serious bias in the result), 2) high dimensional imaging data. In statistics and neuroimaging literature, there are ample room for new scalable method for this high-dimensional variable selection problem with nonrandom nonresponse and our research has the potential to fill the void. |