[Our moral ancestors: determining adjustment sets in causal diagrams with ease].

@article{Textor2011OurMA,
  title={[Our moral ancestors: determining adjustment sets in causal diagrams with ease].},
  author={Johannes Textor},
  journal={Gesundheitswesen (Bundesverband der Arzte des Offentlichen Gesundheitsdienstes (Germany))},
  year={2011},
  volume={73 12},
  pages={897-900}
}
This article is concerned with the application of causal diagrams (also called DAGs) to the following 2 tasks, which are often faced in epidemiology: (1) a posteriori verification of the adjustment performed in an empirical study; (2) a priori identification of appropriate covariate sets for adjustment during study design. Causal diagram theory provides several methods for solving both of these tasks. However, some of these methods are computationally highly demanding, and thus cannot be… CONTINUE READING

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