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Fig. 6 | BMC Medical Research Methodology

Fig. 6

From: Bayesian identification of structural coefficients in causal models and the causal false-positive risk of confounders and colliders in linear Markovian models

Fig. 6

Directed acyclic graph for the structural causal model which describes the effect of treatment X on outcome Y under the collider variable C. UX, UY, UW and UC denote unobservable latent variables. The presence of each of the arrows depends on which of the testable implications for the collider scenario are violate

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