- Doubly robust estimation in causal inference with missing outcomes🔍
- Semiparametric Estimation of Long|Term Treatment Effects🔍
- Publications🔍
- Targeted Maximum Likelihood Estimation🔍
- DOUBLY ROBUST INSTRUMENTAL VARIABLE REGRESSION🔍
- TIME|VARYING TREATMENT EFFECTS 1 Estimating time ...🔍
- On Treatment Effects estimation using LOngitudinal data🔍
- Doubly robust estimation of causal effects.🔍
Double Robust Efficient Estimators of Longitudinal Treatment Effects
Doubly robust estimation in causal inference with missing outcomes
... efficient estimator of the average treatment effect, Stat. Sci. 35 ... Causal effects in longitudinal studies: Definition and maximum likelihood ...
Doubly robust estimation in causal inference with missing outcomes
Estimation of the average treatment effect (ATE) and the average treatment effect on the treated (ATT) are two important topics of causal inference.
Semiparametric Estimation of Long-Term Treatment Effects
In both cases, we find that the efficient influence functions possess a “double-robust” structure commonly found in causal estimation problems (Kang and Schafer ...
Publications | Center for Targeted Machine Learning and Causal ...
Publications ; Double Robust Efficient Estimators of Longitudinal Treatment Effects: Comparative Performance in Simulations and a Case Study, Tran L, Yiannoutsos ...
Targeted Maximum Likelihood Estimation, integrating machine ...
TMLE, which is a double robust semiparametric efficient estimator, has the potential to reduce bias and variance and to improve the validity of statistical ...
DOUBLY ROBUST INSTRUMENTAL VARIABLE REGRESSION
Tan (2006b) develops various estimators for local average treatment effects at population and ... bly robust estimator ˆαr is more efficient than the original ...
TIME-VARYING TREATMENT EFFECTS 1 Estimating time ... - OSF
g-estimation is effective, flexible, robust, and relatively straightforward to implement. Keywords: Causal inference; Double robust estimation; G-estimation;.
On Treatment Effects estimation using LOngitudinal data - ANR
Some commonly used estimation methods may lead to erroneous conclusions, especially if treatment effects are heterogeneous. This research project aims to ...
Doubly robust estimation of causal effects. - Abstract - Europe PMC
Doubly robust estimation combines a form of outcome regression with a model for the exposure (i.e., the propensity score) to estimate the ...
Data-adaptive doubly robust instrumental variable methods for ...
When the parametric model for the treatment effect curve is correctly specified, the g-estimator outperforms all others, but when this model is misspecified, ...
Causality for Functional Longitudinal Data
rate double-robustness (Smucler et al., 2019) for estimation. ... Average treatment effect estimation in observational studies with functional covariates.
Nonparametric Methods for Doubly Robust Estimation of Continuous ...
(2015) Uniformly semiparametric efficient estimation of treatment effects with a continuous treatment. Journal of the American Statistical ...
Improving efficiency and robustness of the doubly robust estimator ...
Stratification and weighting via the propensity score in estimation of causal treatment effects: a comparative study. Statist. Med. 23, 2937-60. Robins ...
Bounded, efficient and doubly robust estimation with inverse weighting. ... Honest data-adaptive inference for the average treatment effect using penalised bias- ...
Ruoxuan Xiong: Efficient Treatment Effect Estimation ... - YouTube
Online Causal Inference Seminar · Oliver Dukes: Nonparametric tests of treatment effect homogeneity for policy-makers · HTE: Confounding-Robust ...
Dynamic treatment rules may better reflect realistic interventions and prevent positivity violations. Doubly-robust estimators should be ...
Orellana, Rotnitzky, and Robins (2006) also discuss how to construct more efficient estimators and doubly robust estimators. ... Estimation of treatment effects ...
Improved double-robust estimation in missing data and causal ...
... estimating a population mean and the causal effect of a binary treatment. Rubin & van der Laan (2008) noted that the locally efficient ...
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Double Robust Efficient Estimators of Longitudinal Treatment Effects ... Nonparametric methods for doubly robust estimation of continuous treatment ...
Statistical inference for data‐adaptive doubly robust estimators with ...
In this paper, we present a doubly robust estimator for survival analysis with the novel property that it converges to a Gaussian variable at an ...