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A Machine Learning Approach to Identify Drivers of E-cigarette Dependence

A Machine Learning Approach to Identify Drivers of E-cigarette Dependence
识别电子烟依赖驱动因素的机器学习方法
批准号:
424369
负责人:
Chaiton Michael O
金额:
$7.29万
依托单位国家:
加拿大
项目类别:
Operating Grants
财政年份:
2020
资助国家:
加拿大
项目状态:
已结题
起止时间:
2020-06-01 至 2021-06-01

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中文摘要
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英文摘要
Problem: Understanding person-level drivers of current e-cigarette use (vaping) is crucial to guide tobacco policy, but prior studies have not fully identified these drivers due to the reliance on cross-sectional data, small sample sizes in many studies,
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国内基金
海外基金
Case-Cohort数据的半参数逆回归估计和纵向数据分析
  • 批准号:
    11071137
  • 项目类别:
    面上项目
  • 资助金额:
    22.0万元
  • 批准年份:
    2010
  • 负责人:
    杨瑛
  • 依托单位: