3 citations · 6 across the 6 of their papers we have counts for
6 papers
Heritability: A Counterfactual Perspective
Haochen Lei, Jieru Shi, Hongyuan Cao +1
Heritability is a central concept in the long-standing debate about nature versus nurture in biological and social sciences. However, existing notions of heritability are based on…
RoME: A Robust Mixed-Effects Bandit Algorithm for Optimizing Mobile Health Interventions
Easton K. Huch, Jieru Shi, Madeline R. Abbott +3
Mobile health leverages personalized and contextually tailored interventions optimized through bandit and reinforcement learning algorithms. In practice, however, challenges such a…
Incorporating Auxiliary Variables to Improve the Efficiency of Time-Varying Treatment Effect Estimation
Jieru Shi, Zhenke Wu, Walter Dempsey
Contextual sensing and delivery of digital interventions to improve health outcomes have gained significant traction in behavioral and psychiatric studies. Micro-randomized trials…
A Meta-Learning Method for Estimation of Causal Excursion Effects to Assess Time-Varying Moderation
Jieru Shi, Walter Dempsey
Advances in wearable technologies and health interventions delivered by smartphones have greatly increased the accessibility of mobile health (mHealth) interventions. Micro-randomi…
Estimating Time-Varying Direct and Indirect Causal Excursion Effects with Longitudinal Binary Outcomes
Jieru Shi, Zhenke Wu, Walter Dempsey
Construction of just-in-time adaptive interventions, such as prompts delivered by mobile apps to promote and maintain behavioral change, requires knowledge about time-varying moder…
Assessing Time-Varying Causal Effect Moderation in the Presence of Cluster-Level Treatment Effect Heterogeneity
Jieru Shi, Zhenke Wu, Walter Dempsey
The micro-randomized trial (MRT) is a sequential randomized experimental design to empirically evaluate the effectiveness of mobile health (mHealth) intervention components that ma…