Efficient and flexible estimation of natural direct and indirect effects under intermediate confounding and monotonicity constraints.

Efficient and flexible estimation of natural direct and indirect effects under intermediate confounding and monotonicity constraints.
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在中间混杂和单调性约束下高效灵活地估计自然直接和间接影响。

DOI:
10.1111/biom.13850
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发表时间:
2023
期刊:
影响因子:
1.9
通讯作者:
Díaz,Iván
Díaz,Iván
中科院分区:
数学3区
文献类型:
--
作者:
Rudolph,KaraE;Williams,Nicholas;Díaz,Iván

文献摘要

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Natural direct and indirect effects are mediational estimands that decompose the average treatment effect and describe how outcomes would be affected by contrasting levels of a treatment through changes induced in mediator values (in the case of the indirect effect) or not through induced changes in the mediator values (in the case of the direct effect). Natural direct and indirect effects are not generally point‐identified in the presence of a treatment‐induced confounder; however, they may be identified if one is willing to assume monotonicity between the treatment and the treatment‐induced confounder. We argue that this assumption may be reasonable in the relatively common encouragement‐design trial setting, where the intervention is randomized treatment assignment and the treatment‐induced confounder is whether or not treatment was actually taken/adhered to. We develop efficiency theory for the natural direct and indirect effects under this monotonicity assumption, and use it to propose a nonparametric, multiply robust estimator. We demonstrate the finite sample properties of this estimator using a simulation study, and apply it to data from the Moving to Opportunity Study to estimate the natural direct and indirect effects of being randomly assigned to receive a Section 8 housing voucher—the most common form of federal housing assistance—on risk developing any mood or externalizing disorder among adolescent boys, possibly operating through various school and community characteristics.