Independence Weights for Causal Inference with Continuous Treatments

Cites Work

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Measuring and testing dependence by correlation of distances
OSQP: An Operator Splitting Solver for Quadratic Programs
Equivalence of distance-based and RKHS-based statistics in hypothesis testing
Energy statistics: a class of statistics based on distances
Demystifying double robustness: a comparison of alternative strategies for estimating a population mean from incomplete data
Covariate balancing propensity score for a continuous treatment: application to the efficacy of political advertisements
Unified methods for censored longitudinal data and causality
Disease cases and their medical costs attributable to smoking: An analysis of the national medical expenditure survey.
Support points
Entropy balancing for continuous treatments
Dealing with limited overlap in estimation of average treatment effects
The central role of the propensity score in observational studies for causal effects
Estimation of Regression Coefficients When Some Regressors Are Not Always Observed
Covariate association eliminating weights: a unified weighting framework for causal effect estimation
Bootstrap confidence intervals for smoothing splines and their comparison to bayesian confidence intervals
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
Kernel-based covariate functional balancing for observational studies
Covariate Balancing Propensity Score
Causal Inference With General Treatment Regimes
Optimal Covariate Balancing Conditions in Propensity Score Estimation
Balancing vs modeling approaches to weighting in practice

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