Front-door Versus Back-door Adjustment with Unmeasured Confounding: Bias Formulas for Front-door and Hybrid Adjustments with Application to a Job Training Program

We demonstrate that the front-door adjustment can be a useful alternative to standard covariate adjustments (i.e., back-door adjustments), even when the assumptions required for the front-door approach do not hold. We do this by providing asymptotic bias formulas for the front-door approach that can be compared directly to bias formulas for the back-door approach. In some cases, this allows the tightening of bounds on treatment effects. We also show that under one-sided noncompliance, the front-door approach does not rely on the use of control units. This finding has implications for the design of studies when treatment cannot be withheld from individuals (perhaps for ethical reasons). We illustrate these points with an application to the National JTPA (Job Training Partnership Act) Study. Supplementary materials are available online.

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PID https://www.doi.org/10.6084/m9.figshare.5718268.v1
PID https://www.doi.org/10.1080/01621459.2017.1398657
URL https://econpapers.repec.org/RePEc:taf:jnlasa:v:113:y:2018:i:523:p:1040-1049
URL https://amstat.tandfonline.com/doi/full/10.1080/01621459.2017.1398657
URL https://core.ac.uk/display/149321487
URL https://academic.microsoft.com/#/detail/2779135360
URL https://ideas.repec.org/a/taf/jnlasa/v113y2018i523p1040-1049.html
URL https://www.tandfonline.com/doi/abs/10.1080/01621459.2017.1398657
URL https://www.tandfonline.com/doi/pdf/10.1080/01621459.2017.1398657
URL http://dx.doi.org/10.6084/m9.figshare.5718268.v1
URL http://dx.doi.org/10.1080/01621459.2017.1398657
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Author Glynn, Adam N.
Author Kashin, Konstantin
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Collected From Datacite; Crossref; Microsoft Academic Graph
Hosted By figshare; Journal of the American Statistical Association
Publication Date 2018-07-03
Publisher Taylor & Francis
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Language UNKNOWN
Resource Type Other literature type; Article
keyword keywords.Statistics, Probability and Uncertainty
keyword FOS: Biological sciences
system:type publication
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Source https://science-innovation-policy.openaire.eu/search/publication?articleId=dedup_wf_001::3369d792b2d45cf3bb04280ccfd9c12e
Author jsonws_user
Last Updated 26 December 2020, 06:17 (CET)
Created 26 December 2020, 06:17 (CET)