The Causal Marginal Polytope for Bounding Treatment Effects
CoRR, 2022 Due to unmeasured confounding, it is often not possible to identify causal effects from a postulated model. Nevertheless, we can ask for partial identification, which usually boils down to finding upper and lower bounds of a causal quantity of interest derived from all solutions compatible with the encoded structural assumptions.
Jakob Zeitler, Ricardo Silva 0001
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Evaluating Marginal Policy Changes and the Average Effect of Treatment for Individuals at the Margin [PDF]
SSRN Electronic Journal, 2009 This paper develops methods for evaluating marginal policy changes. We characterize how the effects of marginal policy changes depend on the direction of the policy change, and show that marginal policy effects are fundamentally easier to identify and to estimate than conventional treatment parameters.
Pedro Carneiro +2 more
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Free HIV antiretroviral therapy enhances adherence among individuals on stable treatment: implications for potential shortfalls in free antiretroviral therapy. [PDF]
PLoS ONE, 2013 ObjectiveTo estimate the population-level causal effect of source of payment for HIV medication on treatment adherence using Marginal Structural Models.MethodsData were obtained from an observational cohort of 76 HIV-infected individuals with at least 24
Jayne Byakika-Tusiime +3 more
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Heterogeneous treatment effects analysis for social scientists: A review.
Social Science Research, 2022 Social scientists have long been interested in the varying responses to a specific intervention, motivating the enterprise of heterogeneous treatment effects (HTE) analysis.
Anning Hu
semanticscholar +1 more source
A treatment‐specific marginal structural Cox model for the effect of treatment discontinuation
Pharmaceutical Statistics, 2022 AbstractPatients taking a prescribed medication often discontinue their treatment; however, this may negatively impact their health outcomes. If doctors had statistical evidence that discontinuing some prescribed medication shortened, on average, the time to a clinical event (e.g., death), they could use that knowledge to encourage their patients to ...
Dana Johnson, Karen Pieper, Shu Yang
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Frontiers in Immunology, 2021 Although solid organ transplantation remains the definitive management for patients with end-stage organ failure, this ultimate treatment has been limited by the number of acceptable donor organs.
Jiale Li +9 more
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Local Average and Marginal Treatment Effects with a Misclassified Treatment
, 2021 This paper studies identification of the local average and marginal treatment effects (LATE and MTE) with a misclassified binary treatment variable. We derive bounds on the (generalized) LATE and exploit its relationship with the MTE to further bound the MTE.
Ban, Kyunghoon +2 more
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Endothelium-targeted delivery of dexamethasone by anti-VCAM-1 SAINT-O-Somes in mouse endotoxemia. [PDF]
PLoS ONE, 2018 Microvascular endothelial cells play a pivotal role in the pathogenesis of sepsis-induced inflammatory responses and multiple organ failure. Therefore, they represent an important target for pharmacological intervention in the treatment of sepsis ...
Ranran Li +10 more
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Quasi-oracle estimation of heterogeneous treatment effects [PDF]
Biometrika, 2017 Flexible estimation of heterogeneous treatment effects lies at the heart of many statistical applications, such as personalized medicine and optimal resource allocation.
Xinkun Nie, Stefan Wager
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A computational approach to identification of treatment effects for policy evaluation [PDF]
Journal of Econometrics, 2020 For counterfactual policy evaluation, it is important to ensure that treatment parameters are relevant to policies in question. This is especially challenging under unobserved heterogeneity, as is well featured in the definition of the local average ...
Sukjin Han, Shenshen Yang
semanticscholar +1 more source