23 citations · 24 across the 3 of their papers we have counts for
3 papers
stat.ME2022
Propensity Score Modeling: Key Challenges When Moving Beyond the No-Interference Assumption
Hyunseung Kang, Chan Park, Ralph Trane
The paper presents some models for the propensity score. Considerable attention is given to a recently popular, but relatively under-explored setting in causal inference where the…
stat.AP2021★ 1 cited
A Robust, Differentially Private Randomized Experiment for Evaluating Online Educational Programs With Sensitive Student Data
Manjusha Kancharla, Hyunseung Kang
Randomized control trials (RCTs) have been the gold standard to evaluate the effectiveness of a program, policy, or treatment on an outcome of interest. However, many RCTs assume t…
stat.ME2016★ 23 cited
Peer Encouragement Designs in Causal Inference with Partial Interference and Identification of Local Average Network Effects
Hyunseung Kang, Guido Imbens
In non-network settings, encouragement designs have been widely used to analyze causal effects of a treatment, policy, or intervention on an outcome of interest when randomizing th…