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: | Mirko Signorelli |
| Institution: | Leiden University |
| Department: | Mathematical Institute |
| Country: | |
| Proposed Analysis: | I am a biostatistician interested in the development of methods for the prediction of survival from longitudinal and high-dimensional data. Recently, we proposed a new method that can deal with this type of data (DOI: 10.1002/sim.9178), which was applied to observational biomarker data on Duchenne Muscular Dystrophy. Such data had a few limitations (e.g., small sample size, short follow-up, lack of discrete longitudinal outcomes or competing risk information...) that constrained the development of such method to somewhat specific modelling choices. I believe the ADNI data is much broader and might represent a great opportunity to develop a more flexible prediction method. I am particularly interested in exploring issues such as dealing with discrete longitudinal predictors, competing risks (if present in the dataset) and assessing the accuracy of different methods for the internal validation (e.g. bootstrap and cross-validation) of the predictive performance of prediction models developed on large datasets with longitudinal predictors and survival outcomes. |
| Additional Investigators | |
| Investigator's Name: | Daniel Gomon |
| Proposed Analysis: | Development of methods for the prediction of survival outcomes based on the ADNI data |
| Investigator's Name: | Sophie Retif |
| Proposed Analysis: | Comparison of methods for the prediction of survival outcomes based on the ADNI data |
| Investigator's Name: | Lana Broer |
| Proposed Analysis: | Multistate modelling of dementia statuses |
