Robust causal inference using directed acyclic graphs: the R package 'dagitty'

Directed acyclic graphs (DAGs), which offer systematic representations of causal relationships, have become an established framework for the analysis of causal inference in epidemiology, often being used to determine covariate adjustment sets for minimizing confounding bias. DAGitty is a popular web...

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Veröffentlicht in:	International journal of epidemiology 2016-12, Vol.45 (6), p.1887-1894
Hauptverfasser:	Textor, Johannes, van der Zander, Benito, Gilthorpe, Mark S, Liskiewicz, Maciej, Ellison, George Th
Format:	Artikel
Sprache:	eng
Schlagworte:	Bias Causality Confounding Factors (Epidemiology) Data Interpretation, Statistical Epidemiologic Methods Humans Software
Online-Zugang:	Volltext
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