具有身体质量指数决定因素识别的分类变系数模型的变量选择

Jiti Gao, B. Peng, Zhao Ren, Xiaohui Zhang
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引用次数: 5

摘要

在本文中,我们提出了一种基于收缩估计技术的变量选择程序,用于分类变系数模型。我们运用该方法从多学科文献中提出的大量潜在因素中确定体重指数(BMI)的相关决定因素,使用的数据来自2013年美国全国健康访谈调查。我们量化了不同人口群体中BMI相关决定因素的不同影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Variable Selection for a Categorical Varying-Coefficient Model with Identifications for Determinants of Body Mass Index
In this paper, we propose a variable selection procedure based on the shrinkage estimation technique for a categorical varying-coefficient model. We apply the method to identify the relevant determinants for body mass index (BMI) from a large amount of potential factors proposed in the multidisciplinary literature, using data from the 2013 National Health Interview Survey in the United States. We quantify the varying impacts of the relevant determinants of BMI across demographic groups.
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