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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Podrobná bibliografia

Vydané v:	International journal of epidemiology Ročník 45; číslo 6; s. 1887 - 1894
Hlavní autori:	Textor, Johannes, van der Zander, Benito, Gilthorpe, Mark S, Liskiewicz, Maciej, Ellison, George Th
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	England 01.12.2016
Predmet:	Bias Causality Confounding Factors (Epidemiology) Data Interpretation, Statistical Epidemiologic Methods Humans Software
ISSN:	1464-3685
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