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Estimating neighborhood health effects: the challenges of causal inference in a complex world.

作者信息

Diez Roux Ana V

机构信息

Department of Epidemiology, Center for Social Epidemiology and Population Health, University of Michigan, 1214 South University, 2nd Floor, Ann Arbor, MI 48104, USA.

出版信息

Soc Sci Med. 2004 May;58(10):1953-60. doi: 10.1016/S0277-9536(03)00414-3.

DOI:10.1016/S0277-9536(03)00414-3

PMID:15020010

Abstract

摘要

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Estimating neighborhood health effects: the challenges of causal inference in a complex world.

Soc Sci Med. 2004 May;58(10):1953-60. doi: 10.1016/S0277-9536(03)00414-3.

The relevance of multilevel statistical methods for identifying causal neighborhood effects.

Soc Sci Med. 2004 May;58(10):1961-7. doi: 10.1016/S0277-9536(03)00415-5.

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Soc Sci Med. 2004 May;58(10):1969-71. doi: 10.1016/j.socscimed.2003.05.001.

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Soc Sci Med. 2004 May;58(10):1929-52. doi: 10.1016/j.socscimed.2003.08.004.

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Community Dent Oral Epidemiol. 2005 Feb;33(1):25-34. doi: 10.1111/j.1600-0528.2004.00190.x.

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Stat Med. 2008 May 20;27(11):1934-43. doi: 10.1002/sim.3139.

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Annu Rev Public Health. 2009;30:27-41. doi: 10.1146/annurev.publhealth.031308.100310.

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Am J Epidemiol. 2023 Oct 10;192(10):1731-1742. doi: 10.1093/aje/kwad129.

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Front Public Health. 2023 Mar 9;11:995529. doi: 10.3389/fpubh.2023.995529. eCollection 2023.

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Estimating neighborhood health effects: the challenges of causal inference in a complex world.

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