Quantile Regression Forests to Identify Determinants of Neighborhood Stroke Prevalence in 500 Cities in the USA: Implications for Neighborhoods with High Prevalence-Reference-Cited by-同舟云学术

Quantile Regression Forests to Identify Determinants of Neighborhood Stroke Prevalence in 500 Cities in the USA: Implications for Neighborhoods with High Prevalence

Published:2020-09-04 Issue:2 Volume:98 Page:259-270
ISSN:1099-3460
Container-title:Journal of Urban Health
language:en
Short-container-title:J Urban Health

Author:

Hu Liangyuan^ORCID,Ji Jiayi,Li Yan,Liu Bian,Zhang Yiyi

Funder

Patient-Centered Outcomes Research Institute

National Heart, Lung, and Blood Institute

National Cancer Institute

Publisher

Springer Science and Business Media LLC

Subject

Public Health, Environmental and Occupational Health,Health(social science),Urban Studies

Link

https://link.springer.com/content/pdf/10.1007/s11524-020-00478-y.pdf

Reference34 articles.

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3. Whisnant JP. Modeling of risk factors for ischemic stroke. Stroke. 1997;28(9):1840–4.

4. Müller-Nordhorn J, Nolte Christian H, Rossnagel K, et al. Knowledge about risk factors for stroke. Stroke. 2006;37(4):946–50.

5. Go AS, Mozaffarian D, Roger VL, Benjamin EJ, Berry JD, Blaha MJ, et al. Heart disease and stroke statistics-2014 update: a report from the American Heart Association. Circulation. 2014;129(3):e28–e292.

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