Pages that link to "Item:Q5127204"
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The following pages link to Robust estimation of causal effects via a high-dimensional covariate balancing propensity score (Q5127204):
Displaying 30 items.
- Model-assisted inference for treatment effects using regularized calibrated estimation with high-dimensional data (Q133315) (← links)
- Covariate balancing propensity score for a continuous treatment: application to the efficacy of political advertisements (Q1647599) (← links)
- Adversarial balancing-based representation learning for causal effect inference with observational data (Q2036786) (← links)
- Augmented minimax linear estimation (Q2073703) (← links)
- Recent advances in statistical methodologies in evaluating program for high-dimensional data (Q2132738) (← links)
- Doubly robust semiparametric inference using regularized calibrated estimation with high-dimensional data (Q2137036) (← links)
- Robust machine learning for treatment effects in multilevel observational studies under cluster-level unmeasured confounding (Q2141660) (← links)
- Overlap in observational studies with high-dimensional covariates (Q2658764) (← links)
- The costs and benefits of uniformly valid causal inference with high-dimensional nuisance parameters (Q2684684) (← links)
- An alternative robust estimator of average treatment effect in causal inference (Q3119935) (← links)
- Approximate Residual Balancing: Debiased Inference of Average Treatment Effects in High Dimensions (Q4962082) (← links)
- Using Machine Learning Methods to Support Causal Inference in Econometrics (Q5015913) (← links)
- Generalised regression estimators for average treatment effect with multicollinearity in high-dimensional covariates (Q5078829) (← links)
- Robust inference on the average treatment effect using the outcome highly adaptive lasso (Q5128778) (← links)
- Regularized calibrated estimation of propensity scores with model misspecification and high-dimensional data (Q5222225) (← links)
- (Q5879928) (← links)
- Causal inference in high dimensions: A marriage between Bayesian modeling and good frequentist properties (Q6055532) (← links)
- Improving Trial Generalizability Using Observational Studies (Q6055870) (← links)
- Calibration Techniques Encompassing Survey Sampling, Missing Data Analysis and Causal Inference (Q6089884) (← links)
- Orthogonal statistical learning (Q6136574) (← links)
- Model-Assisted Inference for Covariate-Specific Treatment Effects with High-dimensional Data (Q6185139) (← links)
- Robust nonparametric estimation of average treatment effects: a propensity score-based varying coefficient approach (Q6548901) (← links)
- Nonparametric augmented probability weighting with sparsity (Q6554241) (← links)
- A calibration method to stabilize estimation with missing data (Q6554765) (← links)
- Improved inference for doubly robust estimators of heterogeneous treatment effects (Q6589258) (← links)
- Efficient Covariate Balancing for the Local Average Treatment Effect (Q6620976) (← links)
- High-Dimensional Model-Assisted Inference for Local Average Treatment Effects With Instrumental Variables (Q6620989) (← links)
- Mahalanobis balancing: a multivariate perspective on approximate covariate balancing (Q6641026) (← links)
- Debiased inverse propensity score weighting for estimation of average treatment effects with high-dimensional confounders (Q6656607) (← links)
- High-dimensional model-assisted inference for treatment effects with multi-valued treatments (Q6664630) (← links)
