| Technical Considerations in the Use of the E-Value |
12 |
| Synthetic Control Method: Inference, Sensitivity Analysis and Confidence Sets |
12 |
| The Inflation Technique for Causal Inference with Latent Variables |
11 |
| Invariant Causal Prediction for Nonlinear Models |
6 |
| Approximate Kernel-Based Conditional Independence Tests for Fast Non-Parametric Causal Discovery |
6 |
| Does Obesity Shorten Life? Or is it the Soda? On Non-manipulable Causes |
6 |
| Variable Selection in Causal Inference using a Simultaneous Penalization Method |
3 |
| A Kernel-Based Metric for Balance Assessment |
2 |
| Bayesian Inference of Causal Effects for an Ordinal Outcome in Randomized Trials |
2 |
| Estimating Causal Effects of New Treatments Despite Self-Selection: The Case of Experimental Medical Treatments |
2 |
| The Entry of Randomized Assignment into the Social Sciences |
1 |
| Determinantal Generalizations of Instrumental Variables |
1 |
| Sufficient Causes: On Oxygen, Matches, and Fires |
1 |
| Estimating Mann-Whitney-Type Causal Effects for Right-Censored Survival Outcomes |
1 |
| Learning Heterogeneity in Causal Inference Using Sufficient Dimension Reduction |
0 |
| New Traffic Conflict Measure Based on a Potential Outcome Model |
0 |
| A Falsifiability Characterization of Double Robustness Through Logical Operators |
0 |
| Covariate Balancing Inverse Probability Weights for Time-Varying Continuous Interventions |
0 |
| A Gaussian Process Framework for Overlap and Causal Effect Estimation with High-Dimensional Covariates |
0 |
| Regression Adjustments for Estimating the Global Treatment Effect in Experiments with Interference |
0 |
| Detecting Confounding in Multivariate Linear Models via Spectral Analysis |
0 |
| What is Gained from Past Learning |
0 |
| On the Interpretation of do(x) |
0 |
| Randomization Tests that Condition on Non-Categorical Covariate Balance |
0 |
| Propensity Score Weighting for Causal Inference with Clustered Data |
0 |
