A new weakened set of graph conditions makes the front-door formula valid for identifying total causal effects under latent confounding in more cases than Pearl's original criterion.
VanderWeele, and James M
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
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A new adaptive variance estimator for relative sparsity coefficients is introduced that fully utilizes the prior asymptotic normality theorem and incorporates variable selection effects.
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Generalization of Pearl's Front-Door Criterion
A new weakened set of graph conditions makes the front-door formula valid for identifying total causal effects under latent confounding in more cases than Pearl's original criterion.
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An adaptive variance estimator for relative sparsity
A new adaptive variance estimator for relative sparsity coefficients is introduced that fully utilizes the prior asymptotic normality theorem and incorporates variable selection effects.