4 papers
Double Machine Learning of Continuous Treatment Effects with Additive Instrumental Variables
Shuyuan Chen, Peng Zhang, Yifan Cui
Estimating causal effects of continuous treatments is a common problem in practice, for example, in studying average dose-response functions. Classical analyses typically assume th…
Fast Algorithms for Exact Confidence Intervals in Randomized Experiments with Binary Outcomes
Peng Zhang
We construct exact confidence intervals for the average treatment effect in randomized experiments with binary outcomes using sequences of randomization tests. Our approach does no…
Identification and Debiased Learning of Causal Effects with General Instrumental Variables
Shuyuan Chen, Peng Zhang, Yifan Cui
Instrumental variable methods are fundamental to causal inference when treatment assignment is confounded by unobserved variables. In this article, we develop a general nonparametr…
On Distributional Discrepancy for Experimental Design with General Assignment Probabilities
Anup B. Rao, Peng Zhang
We investigate experimental design for randomized controlled trials (RCTs) with both equal and unequal treatment-control assignment probabilities. Our work makes progress on the co…