Bounds on the conditional and average treatment effect with unobserved confounding factors
type: Item
instance of: scholarly article
title: Bounds on the conditional and average treatment effect with unobserved confounding factors
DOI: 10.1214/22-AOS2195
author: Steve Yadlowsky
author: Hongseok Namkoong
author: Sanjay Basu
author: John C. Duchi
author: Lu Tian
published in: The Annals of Statistics
publication date: 2022-12-08T00:00:00Z
full work available at URL: https://arxiv.org/abs/1808.09521
Mathematics Subject Classification ID: 62F03
Mathematics Subject Classification ID: 62F30
Mathematics Subject Classification ID: 62H12
Mathematics Subject Classification ID: 62H15
zbMATH DE Number: 7628833
zbMATH Keywords: Causal estimation
zbMATH Keywords: semiparametric inference
zbMATH Keywords: sensitivity analysis
zbMATH Keywords: omitted variable
describes a project that uses: grf
describes a project that uses: XGBoost
MaRDI profile type: Publication
OpenAlex ID: W2948206881
cites work: Large Sample Properties of Matching Estimators for Average Treatment Effects
cites work: Interval estimation of population means under unknown but bounded probabilities of sample selection
cites work: Recursive partitioning for heterogeneous causal effects
cites work: Generalized random forests
cites work: Doubly Robust Estimation in Missing Data and Causal Inference Models
cites work: Q4821526
cites work: Optimal uniform convergence rates and asymptotic normality for series estimators under weak dependence and weak conditions
cites work: Improved rates and asymptotic normality for nonparametric neural network estimators
cites work: Double/debiased machine learning for treatment and structural parameters
cites work: Ten Lectures on Wavelets
cites work: Flexible Sensitivity Analysis for Observational Studies Without Observable Implications
cites work: Nonparametric maximum likelihood estimation by the method of sieves
cites work: A distribution-free theory of nonparametric regression
cites work: On the Role of the Propensity Score in Efficient Semiparametric Estimation of Average Treatment Effects
cites work: Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score
cites work: Causal Inference for Statistics, Social, and Biomedical Sciences
cites work: Q5566063
cites work: Shape-constrained partial identification of a population mean under unknown probabilities of sample selection
cites work: Q3288487
cites work: Quasi-oracle estimation of heterogeneous treatment effects
cites work: Nonparametric bounds and sensitivity analysis of treatment effects
cites work: Q4494192
cites work: Variational Analysis
cites work: Observational studies.
cites work: Covariance adjustment in radomized experiments and observational studies
cites work: Design of observational studies
cites work: A New u-Statistic with Superior Design Sensitivity in Matched Observational Studies
cites work: Weighted M-statistics With Superior Design Sensitivity in Matched Observational Studies With Multiple Controls
cites work: Adjusting for Nonignorable Drop-Out Using Semiparametric Nonresponse Models
cites work: Q3592409
cites work: Sensitivity analysis for causal inference using inverse probability weighting
cites work: Optimal rates of convergence for nonparametric estimators
cites work: Q5727762
cites work: Comment: Demystifying double robustness: a comparison of alternative strategies for estimating a population mean from incomplete data
cites work: Estimation and Inference of Heterogeneous Treatment Effects using Random Forests
cites work: Sensitivity Analysis for Inverse Probability Weighting Estimators via the Percentile Bootstrap
description: scientific article; zbMATH DE number 7628833