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On Partial Identification of the Pure Direct Effect

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arxiv 1509.01652 v1 pith:QBA4DZIB submitted 2015-09-05 stat.ME

classification stat.ME
keywords boundseffectidentificationwhenassumingassumptionscaseconfounding
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In causal mediation analysis, nonparametric identification of the pure (natural) direct effect typically relies on, in addition to no unobserved pre-exposure confounding, fundamental assumptions of (i) so-called "cross-world-counterfactuals" independence and (ii) no exposure- induced confounding. When the mediator is binary, bounds for partial identification have been given when neither assumption is made, or alternatively when assuming only (ii). We extend existing bounds to the case of a polytomous mediator, and provide bounds for the case assuming only (i). We apply these bounds to data from the Harvard PEPFAR program in Nigeria, where we evaluate the extent to which the effects of antiretroviral therapy on virological failure are mediated by a patient's adherence, and show that inference on this effect is somewhat sensitive to model assumptions.

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Cited by 1 Pith paper

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  1. Proximal Mediation Analysis with Unmeasured Treatment-Induced Confounding

    stat.ME 2026-07 conditional novelty 7.0 of 10

    Interventional mediation effects are identifiable under unmeasured treatment-induced confounding given two valid proxies, via four proximal formulas and a multiply robust, locally efficient estimator.

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