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: | Harrison Reeder |
| Institution: | Harvard TH Chan School of Public Health |
| Department: | Biostatistics |
| Country: | |
| Proposed Analysis: | Our proposed analysis plan for the requested ADNI data will focus on the development of novel accelerated failure time survival models to assess associations between biomarkers and the joint risk of Alzheimer’s Disease (AD) and death. First, we plan to develop a novel accelerated failure time survival model with percentile-varying effects that accommodates left-truncation and interval censoring, to capture new insights into the effects of risk factors on Alzheimer’s onset. Second, we plan to develop a novel Bayesian group-structured variable selection method for accelerated failure time survival models with left-truncation and interval censoring, to identify genetic risk factors for Alzheimer’s onset. Third, we plan to develop a novel Bayesian framework for the joint analysis of semi-competing risks and longitudinal data, to assess the impact of longitudinal biomarkers jointly on Alzheimer’s onset and mortality. Using the proposed high-dimensional methodology, we intend to model association between genetic markers and the joint outcomes of AD and death. Using the proposed longitudinal model, we intend to model association between longitudinal biomarkers and the joint outcomes of AD and death. |
| Additional Investigators | |
| Investigator's Name: | Kyu Ha Lee |
| Proposed Analysis: | Same analysis as Harrison Reeder. |
