Ongoing Investigations

ADNI data is made available to researchers around the world. As such, there are many active research projects accessing and applying the shared ADNI data. To further encourage Alzheimer’s disease research collaboration, and to help prevent duplicate efforts, the list below shows the specific research focus of the active ADNI investigations. This information is requested annually as a requirement for data access.

Principal Investigator  
Principal Investigator's Name: Ayesha Ali
Institution: University of Guelph
Department: Department of Mathematics and Statistics
Country:
Proposed Analysis: We propose to use the data set as an illustrative example for a new graphically based penalized regression model. The analysis will be similar in nature to that of Yu & Liu (2015) in which this data set was featured. Our model extends the methods of Yu & Liu (2015) to allow for the edge strength between two nodes (predictors) to be represented by a continuous weight rather than a binary connected/unconnected relationship. Yu, G., & Liu, Y. (2015). Sparse Regression Incorporating Graphical Structure among Predictors. Journal of the American Statistical Association, (just-accepted), 00-00.
Additional Investigators  
Investigator's Name: Matthew Stephenson
Proposed Analysis: We propose to use the data set as an illustrative example for a new graphically based penalized regression model. The analysis will be similar in nature to that of Yu & Liu (2015) in which this data set was featured. Our model extends the methods of Yu & Liu (2015) to allow for the edge strength between two nodes (predictors) to be represented by a continuous weight rather than a binary connected/unconnected relationship. Yu, G., & Liu, Y. (2015). Sparse Regression Incorporating Graphical Structure among Predictors. Journal of the American Statistical Association, (just-accepted), 00-00.