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Fig. 5 | BMC Medical Research Methodology

Fig. 5

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

Fig. 5

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 arrow connecting W and X is assumed to be directed from W to X and not from X to W, either due to subject-domain knowledge or temporal information

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