Multiple testing procedures for large and complex dependent data to study human brain complex network properties
Event details
| Date | 26.10.2015 |
| Hour | 15:00 |
| Speaker | Djalel Meskaldji, EPFL |
| Location |
Campus Biotech, H8-01 144.165
|
| Category | Conferences - Seminars |
Given the large number of papers written over the last ten years on error controls in high dimensional multiple testing, it would be worthwhile to consider a single comprehensive technique that allows user flexibility in error control. We describe a new and comprehensive family of error rates (with a corresponding family of control) that contains and generalizes most existing proposals. It offers the scientist a broad choice on how to properly control for discovering false findings. We also discuss the use of a particular choice that bridges the gap between two well-known control error metrics: FWER and FDR. The second part of the talk will be dedicated to how to use a screening and filtering strategy to benefit from positive dependence to increase power of testing, when data can be modeled as a complex network. As an illustration, the strategy is applied to compare topological differences between groups of human brain networks.
Bio: PhD. Applied mathematics and Electrical engineering, EPFL, 2013.
Diploma, Applied Mathematics, EPFL, 2009.
Bio: PhD. Applied mathematics and Electrical engineering, EPFL, 2013.
Diploma, Applied Mathematics, EPFL, 2009.
Practical information
- Informed public
- Free
- This event is internal
Organizer
- Van de Ville Lab