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stat.ME2021
Nonparametric tests for treatment effect heterogeneity in observational studies
Maozhu Dai, Weining Shen, Hal S. Stern
We consider the problem of testing for treatment effect heterogeneity in observational studies, and propose a nonparametric test based on multisample U-statistics. To account for p…
stat.ME2020★ 2 cited
A U-statistic-based test of treatment effect heterogeneity
Maozhu Dai, Hal S. Stern
Many studies include a goal of determining whether there is treatment effect heterogeneity across different subpopulations. In this paper, we propose a U-statistic-based non-parame…
stat.ME2017★ 1 cited
Estimating the Entropy Rate of Finite Markov Chains with Application to Behavior Studies
Brian Vegetabile, Jenny Molet, Tallie Z. Baram +1
Predictability of behavior has emerged an an important characteristic in many fields including biology, medicine, and marketing. Behavior can be recorded as a sequence of actions p…