When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary: Difference between revisions
Jump to navigation
Jump to search
(Created page with "'''Main Contributions of the Research Article:''' 1. The main result is a hypothesis test to evaluate whether pooling data across multiple sites for regression (before or afte...") |
No edit summary |
||
Line 1: | Line 1: | ||
'''Main Contributions of the Research Article:''' | '''Main Contributions of the Research Article:''' | ||
#The main result is a hypothesis test to evaluate whether pooling data across multiple sites for regression (before or after correcting for site-specific distributional shifts) can improve the estimation (mean squared error) of the relevant coefficients (while permitting an influence from a set of confounding variables). | |||
#Show how pooling is can be used even when the features are different across sites. For this they show the L2-consistency rate which supports the use of spare-multi-task Lasso when sparsity patterns are not identical | |||
#Experimental results showing consistent acceptance power for early Alzheimer’s detection (AD) in humans. |
Revision as of 00:24, 24 October 2017
Main Contributions of the Research Article:
- The main result is a hypothesis test to evaluate whether pooling data across multiple sites for regression (before or after correcting for site-specific distributional shifts) can improve the estimation (mean squared error) of the relevant coefficients (while permitting an influence from a set of confounding variables).
- Show how pooling is can be used even when the features are different across sites. For this they show the L2-consistency rate which supports the use of spare-multi-task Lasso when sparsity patterns are not identical
- Experimental results showing consistent acceptance power for early Alzheimer’s detection (AD) in humans.