Pages that link to "Item:Q5384546"
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The following pages link to Doubly robust nonparametric inference on the average treatment effect (Q5384546):
Displaying 31 items.
- Robust inference on average treatment effects with possibly more covariates than observations (Q496134) (← links)
- Sufficient dimension reduction for average causal effect estimation (Q2147407) (← links)
- Comment: Outcome-wide individualized treatment strategies (Q2218079) (← links)
- A nonparametric super-efficient estimator of the average treatment effect (Q2218085) (← links)
- Comment: Increasing real world usage of targeted minimum loss-based estimators (Q2218086) (← links)
- Rejoinder: A nonparametric superefficient estimator of the average treatment effect (Q2218089) (← links)
- Covariate selection for the nonparametric estimation of an average treatment effect (Q3107977) (← links)
- (Q4633064) (← links)
- Inference on a New Class of Sample Average Treatment Effects (Q4999157) (← links)
- Stratified doubly robust estimators for the average causal effect (Q5170194) (← links)
- Causal inference for average treatment effects of multiple treatments with non-normally distributed outcome variables (Q5222378) (← links)
- Non-parametric Methods for Doubly Robust Estimation of Continuous Treatment Effects (Q5364907) (← links)
- Robust Q-Learning (Q5857152) (← links)
- Complier Stochastic Direct Effects: Identification and Robust Estimation (Q6040685) (← links)
- Transporting stochastic direct and indirect effects to new populations (Q6047804) (← links)
- Robust and efficient semi‐supervised estimation of average treatment effects with application to electronic health records data (Q6050944) (← links)
- Causal inference in high dimensions: A marriage between Bayesian modeling and good frequentist properties (Q6055532) (← links)
- Nonparametric Inverse-Probability-Weighted Estimators Based on the Highly Adaptive Lasso (Q6055851) (← links)
- Estimation of separable direct and indirect effects in continuous time (Q6079850) (← links)
- Estimation of causal effects with a binary treatment variable: a unified M-estimation framework (Q6561146) (← links)
- Optimal Covariate Balancing Conditions in Propensity Score Estimation (Q6586890) (← links)
- Improved inference for doubly robust estimators of heterogeneous treatment effects (Q6589258) (← links)
- Targeted learning in observational studies with multi-valued treatments: an evaluation of antipsychotic drug treatment safety (Q6618441) (← links)
- A nonparametric doubly robust test for a continuous treatment effect (Q6621539) (← links)
- Statistical inference for data-adaptive doubly robust estimators with survival outcomes (Q6627164) (← links)
- Doubly robust estimation of optimal dynamic treatment regimes with multicategory treatments and survival outcomes (Q6629339) (← links)
- Doubly robust adaptive LASSO for effect modifier discovery (Q6637097) (← links)
- Estimating the population average treatment effect in observational studies with choice-based sampling (Q6637196) (← links)
- An alternative doubly robust estimation in causal inference model (Q6640985) (← links)
- Design-robust two-way-fixed-effects regression for panel data (Q6646167) (← links)
- How estimating nuisance parameters can reduce the variance (with consistent variance estimation) (Q6652609) (← links)