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A time and place for causal inference methods in perinatal and paediatric epidemiology.

作者信息

Ahrens Katherine A, Schisterman Enrique F

机构信息

Epidemiology Branch, Division of Epidemiology, Statistics and Prevention Research, Eunice Kennedy Shriver National Institute of Child Health & Human Development, Bethesda, MD 20892, USA.

出版信息

Paediatr Perinat Epidemiol. 2013 May;27(3):258-62. doi: 10.1111/ppe.12048.

DOI:10.1111/ppe.12048

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3670602/

Abstract

摘要

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本文引用的文献

[1]

Cell phone exposures and hearing loss in children in the Danish National Birth Cohort.

Paediatr Perinat Epidemiol. 2013-5

[2]

Correcting for exposure misclassification using survival analysis with a time-varying exposure.

Ann Epidemiol. 2012-10-5

[3]

An information criterion for marginal structural models.

Stat Med. 2012-9-12

[4]

Structural nested models, g-estimation, and the healthy worker effect: the promise (mostly unrealized) and the pitfalls.

Epidemiology. 2012-3

[5]

DAGitty: a graphical tool for analyzing causal diagrams.

Epidemiology. 2011-9

[6]

Implementation of G-computation on a simulated data set: demonstration of a causal inference technique.

Am J Epidemiol. 2011-3-16

[7]

Doubly robust estimation of causal effects.

Am J Epidemiol. 2011-3-8

[8]

Overadjustment bias and unnecessary adjustment in epidemiologic studies.

Epidemiology. 2009-7

[9]

Constructing inverse probability weights for marginal structural models.

Am J Epidemiol. 2008-9-15

[10]

Potential confounding by exposure history and prior outcomes: an example from perinatal epidemiology.

Epidemiology. 2007-9

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