3 papers
stat.ME2024
A Randomization-Based Method for Evaluating Time-Varying Treatment Effects
Sangjin Lee, Kwonsang Lee
Tests for paired censored outcomes have been extensively studied, with some justified in the context of randomization-based inference. These tests are primarily designed to detect…
stat.ME2024
Absolute average and median treatment effects as causal estimands on metric spaces
Ha-Young Shin, Kyusoon Kim, Kwonsang Lee +1
We define the notions of absolute average and median treatment effects as causal estimands on general metric spaces such as Riemannian manifolds, propose estimators using stratific…
stat.ME2023
Local causal effects with continuous exposures: A matching estimator for the average causal derivative effect
Suhwan Bong, Kwonsang Lee
The estimation of causal effects is a fundamental goal in the field of causal inference. However, it is challenging for various reasons. One reason is that the exposure (or treatme…