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: | Christopher Brydges |
| Institution: | University of California, Davis |
| Department: | West Coast Metabolomics Center |
| Country: | |
| Proposed Analysis: | The data will be used as a real-world example of how Bayesian statistics can be advantageous in answering research questions that traditional null hypothesis significance testing (e.g., p values) cannot. This study is not aiming to answer any specific research question about Alzheimer's disease/MCI, but will show that Bayesian analyses can be used to quantify evidence in favor of one hypothesis over another, including support of the null hypothesis, which p values cannot do. Metabolomics and cognitive screening data will be used to demonstrate this, by comparing the results of simple traditional and Bayesian statistical analyses. For example, traditional and Bayesian independent samples t-tests may be conducted on a selection of metabolites with sex used as the grouping variable. Additionally, traditional and Bayesian correlations may be conducted between scores on a cognitive screening measure and abundance of a selection of metabolites. |
| Additional Investigators |
