Identifying Effects of Multiple Treatments in the Presence of Unmeasured Confounding
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Publication:6077586
DOI10.1080/01621459.2021.2023551arXiv2011.04504OpenAlexW3103956092MaRDI QIDQ6077586
Elizabeth L. Ogburn, Wenjie Hu, Wang Miao, Xiao-Hua Andrew Zhou
Publication date: 18 October 2023
Published in: Journal of the American Statistical Association (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2011.04504
Cites Work
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- Bi-cross-validation for factor analysis
- A lava attack on the recovery of sums of dense and sparse signals
- ACE bounds; SEMs with equilibrium conditions
- Confounder adjustment in multiple hypothesis testing
- Instrumental variable estimation with a stochastic monotonicity assumption
- Doubly debiased Lasso: high-dimensional inference under hidden confounding
- On an algorithm for solving Fredholm integrals of the first kind
- Examples of \(L^2\)-complete and boundedly-complete distributions
- A new instrumental method for dealing with endogenous selection
- Measurement bias and effect restoration in causal inference
- Generalized Cornfield conditions for the risk difference
- ON THE COMPLETENESS CONDITION IN NONPARAMETRIC INSTRUMENTAL PROBLEMS
- A Factor Model Approach to Multiple Testing Under Dependence
- Identification of Causal Effects Using Instrumental Variables
- Identification and Estimation of Triangular Simultaneous Equations Models Without Additivity
- Causal diagrams for empirical research
- Bounds on Treatment Effects From Studies With Imperfect Compliance
- Identification and Inference With Nonignorable Missing Covariate Data
- Identifying causal effects with proxy variables of an unmeasured confounder
- Local Identification of Nonparametric and Semiparametric Models
- Inference on the Order of a Normal Mixture
- A new approach to causal inference in mortality studies with a sustained exposure period—application to control of the healthy worker survivor effect
- Bounded, Efficient and Multiply Robust Estimation of Average Treatment Effects Using Instrumental Variables
- Identifiability of causal effects with multiple causes and a binary outcome
- Multiply Robust Causal Inference with Double-Negative Control Adjustment for Categorical Unmeasured Confounding
- Principles of Applied Statistics
- The Blessings of Multiple Causes
- Comment: Reflections on the Deconfounder
- Comment on: “The Blessings of Multiple Causes” by Yixin Wang and David M. Blei
- Comment: The Challenges of Multiple Causes
- Comment on “Blessings of Multiple Causes”
- Batch Effects Correction with Unknown Subtypes
- Regularization Methods for High-Dimensional Instrumental Variables Regression With an Application to Genetical Genomics
- Doubly Robust Estimation of the Local Average Treatment Effect Curve
- On varieties of doubly robust estimators under missingness not at random with a shadow variable
- An IV Model of Quantile Treatment Effects
- On the Testability of Identification in Some Nonparametric Models With Endogeneity
- Mendelian randomization as an instrumental variable approach to causal inference
- Instrumental Variable Treatment of Nonclassical Measurement Error Models
- Instrumental Variable Estimation of Nonparametric Models
- On the Identifiability of Finite Mixtures
- Linear integral equations