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Eur J Epidemiol. 2008;23(3):163-6. doi: 10.1007/s10654-007-9220-4. Epub 2008 Jan 26.

From causal diagrams to birth weight-specific curves of infant mortality.

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1
Department of Epidemiology, Harvard School of Public Health, 677 Huntington Avenue, Boston, MA 02115, USA. shernan@hsph.harvard.edu

Abstract

This report explores the low birth weight paradox using two graphical approaches: causal directed acyclic graphs (DAGs), and the empirical curves of the birth weight distribution and birth weight-specific mortality. The birth weight curves are able to represent the associations quantitatively, while the corresponding causal DAGs provide a set of plausible explanations for the findings. Taken together, these two approaches can facilitate discussion of underlying biological mechanisms.

PMID:
18224448
PMCID:
PMC2722961
DOI:
10.1007/s10654-007-9220-4
[Indexed for MEDLINE]
Free PMC Article
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