Assessing the spatial heterogeneity in overall health across the United States using spatial regression methods: The contribution of health factors and county-level demographics

Tabb Loni Philip; McClure Leslie A.; Quick Harrison; Purtle Jonathan; Roux Ana V. Diez

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Assessing the spatial heterogeneity in overall health across the United States using spatial regression methods: The contribution of health factors and county-level demographics

机译：使用空间回归方法评估美国整体健康的空间异质性：卫生因素和县级人口统计学的贡献

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来源
《Health & place》 |2018年第2018期|共10页
作者
Tabb Loni Philip; McClure Leslie A.; Quick Harrison; Purtle Jonathan; Roux Ana V. Diez;
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作者单位

Drexel Univ Dornsife Sch Publ Hlth Dept Epidemiol &

Biostat 3215 Market St Philadelphia PA;

Drexel Univ Dornsife Sch Publ Hlth Dept Epidemiol &

Biostat 3215 Market St Philadelphia PA;

Drexel Univ Dornsife Sch Publ Hlth Dept Epidemiol &

Biostat 3215 Market St Philadelphia PA;

Drexel Univ Dornsife Sch Publ Hlth Dept Hlth Management &

Policy 3215 Market St Philadelphia;

Drexel Univ Dornsife Sch Publ Hlth Dept Epidemiol &

Biostat 3215 Market St Philadelphia PA;

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原文格式 PDF
正文语种 eng
中图分类保健组织与事业（卫生事业管理）;
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机译：使用空间回归方法评估美国整体健康的空间异质性：卫生因素和县级人口统计学的贡献
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Assessing the spatial heterogeneity in overall health across the United States using spatial regression methods: The contribution of health factors and county-level demographics

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