A machine learning approach to identify correlates of current e-cigarette use in Canada
Aim: Popularity of electronic cigarettes (i.e. e-cigarettes) is soaring in Canada. Understanding person-level correlates of current e-cigarette use (vaping) is crucial to guide tobacco policy, but prior studies have not fully identified these correlates due to model overfitting caused by multicollin...
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| Main Authors: | , , |
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| Format: | Book |
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Open Exploration Publishing Inc.,
2021-02-01T00:00:00Z.
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| Call Number: |
A1234.567 |
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| Copy 1 | Available |