Nonparametric estimation of mediation effects with a general treatment

Cites Work

Unnamed Item
Unnamed Item
Unnamed Item
Defining and estimating intervention effects for groups that will develop an auxiliary outcome
Semiparametric theory for causal mediation analysis: efficiency bounds, multiple robustness and sensitivity analysis
Identification, inference and sensitivity analysis for causal mediation effects
Convergence rates and asymptotic normality for series estimators
Covariate balancing propensity score for a continuous treatment: application to the efficacy of political advertisements
Efficient propensity score regression estimators of multivalued treatment effects for the treated
Estimation and inference for the counterfactual distribution and quantile functions in continuous treatment models
Semiparametric efficiency in GMM models with auxiliary data
Estimation and inference for distribution functions and quantile functions in treatment effect models
Efficient semiparametric estimation of multi-valued treatment effects under ignorability
Asymptotic Normality of Series Estimators for Nonparametric and Semiparametric Regression Models
The Asymptotic Variance of Semiparametric Estimators
On the Role of the Propensity Score in Efficient Semiparametric Estimation of Average Treatment Effects
Direct and Indirect Treatment Effects–Causal Chains and Mediation Analysis with Instrumental Variables
Estimation of Controlled Direct Effects
A Simple and Efficient Estimation of Average Treatment Effects in Models with Unmeasured Confounders
A unified framework for efficient estimation of general treatment models
Non-parametric Methods for Doubly Robust Estimation of Continuous Treatment Effects
Uniformly Semiparametric Efficient Estimation of Treatment Effects With a Continuous Treatment
Globally Efficient Non-Parametric Inference of Average Treatment Effects by Empirical Balancing Calibration Weighting
Inference on Counterfactual Distributions
Nonparametric Matching and Efficient Estimators of Homothetically Separable Functions
Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score
Causal Inference With General Treatment Regimes
Large-Scale Hypothesis Testing for Causal Mediation Effects with Applications in Genome-wide Epigenetic Studies
Regression Discontinuity Designs With a Continuous Treatment
A Unified Framework for Specification Tests of Continuous Treatment Effect Models