Predictive Modeling of Adolescent Cannabis Use From Multimodal Data
Predicting teenage drug use is key to understanding the etiology of substance abuse. However, classic predictive modeling procedures are prone to overfitting and fail to generalize to independent observations. To mitigate these concerns, cross-validated logistic regression with elastic-net regulariz...
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| Format: | Others |
| Language: | en |
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ScholarWorks @ UVM
2017
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| Online Access: | http://scholarworks.uvm.edu/graddis/690 http://scholarworks.uvm.edu/cgi/viewcontent.cgi?article=1689&context=graddis |