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: | Naoki Tomita |
| Institution: | Institute of Development, Aging and Cancer, Tohoku University |
| Department: | Department of Geriatrics and Gerontology |
| Country: | |
| Proposed Analysis: | The effect of a risk factor on the development of disease is usually assessed based on the baseline value of the risk factor in most cohort studies. However, such analysis has a potential limitation that the baseline values may not sufficiently explain the development of a disease when the value of the risk factor largely changes according to time. Recently, the Cox proportional hazards model with time-dependent covariates is sometimes applied to analyze the data of a cohort study where the risk factors are measured repeatedly during the follow-up period. The repeated measurements are included in the model as time-dependent covariates to consider the change of risk factors according to time. However, the model assesses the risk of a disease according to the value of a risk factor at each time-point, but not ?the pattern of change? in the risk factor. We will propose a model to assess the effect of a risk factor to the development of disease in terms of the baseline value and the rate of change (i.e., intercept and slope) assuming that the value of a risk factor changes linearly according to time. The performance of our proposed model will be compared with the models that include only the baseline value and time-dependent covariates. |
| Additional Investigators |