Doubly Robust Estimation of a Marginal Average Effect of Treatment ...

In this paper, we present a novel framework for identification and estimation using an IV of the marginal average causal effect of treatment amongst the treated ...

Doubly Robust Estimation of Average Treatment ... - Project MUSE

We explain how such parameters can be defined through parameters in a marginal structural (working) model. We illustrate how existing software can be used for ...

By Lan Liu, Wang Miao, Baoluo Sun, et al., Published on 06/29/15.

Doubly Robust Estimation of a Marginal Average Effect of Treatment ...

Abstract: The objective of many studies in health and social sciences is to evaluate the causal effect of a treatment or exposure on a specific outcome using ...

Doubly Robust Estimation of a Marginal Average Effect of Treatment ...

For inference, we propose three different semiparametric strategies: (i) inverse probability weighting (IPW), (ii) outcome regression, and (iii) ...

Doubly Robust Estimation of Average Treatment Effects on the ...

However, there also exist doubly robust approaches of estimating. MSMs; that is, through (longitudinal) targeted maximum likelihood estimation (LTMLE), see ...

Doubly Robust Estimation of Average Treatment Effects on the ...

open access Doubly Robust Estimation of Average Treatment Effects on the Treated through Marginal Structural Models ... Abstract: Some causal ...

Average Treatment Effects: Double Robustness - YouTube

Average Treatment Effects: Double Robustness ... Doubly-Robust Estimation for Correcting Position-Bias in Clicks for Unbiased Learning to Rank.

A doubly robust approach for impact evaluation of interventions for ...

The idea behind doubly robust estimation is to use both the propensity score (the probability of treatment as a function of confounders) as well as the outcome ...

Improved Doubly Robust Estimation in Marginal Mean Models for ...

We propose an improved DR estimator of causal estimand in dynamic treatment regimes through a technique originally developed by [4] which aims ...

Doubly robust estimation of the local average treatment effect curve

Summary. We consider estimation of the causal effect of a binary treatment on an outcome, conditionally on covariates, from observational studies or natural ...

Doubly Robust Estimation of Average Treatment Effects on the ...

Publisher. Penn Press ; Subject. Average Treatment Effect on the Treated; Marginal Structural Models; Data Challenge ; Organisational unit. 06336 - KOF FB Data ...

Doubly Robust Estimation of Causal Effects - PMC - PubMed Central

Doubly robust estimation combines 2 approaches to estimating the causal effect of an exposure (or treatment) on an outcome. We examine in ...

Doubly Robust Estimation of Causal Effect | Circulation

We describe in this article a doubly robust estimator which combines both models propitiously to offer analysts 2 chances for obtaining a valid causal estimate.

A doubly robust estimator for the average treatment effect in the ...

In this article we extend the SIMEX methodology, in the context of a mean reverting measurement error structure, to a doubly robust estimator of the average ...

A doubly robust weighting estimator of the average treatment effect ...

... estimation of population-level treatment effects both cross-sectionally and longitudinally as in marginal structural models. (Hernán et al., 2000). For ...

Doubly robust estimation of the local average treatment effect curve

A doubly robust, locally efficient estimator of the parameters indexing a model for the local average treatment effect conditionally on covariates V when ...

A General Double Robustness Result for Estimating Average ...

In this paper we study doubly robust estimators of various average and quantile treatment effects under unconfoundedness; we also consider.

Machine learning outcome regression improves doubly robust ...

Doubly robust estimation produces an unbiased estimator for the average treatment effect unless both propensity score (PS) and outcome models are incorrectly ...

Doubly robust estimation of the local average treatment effect curve

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