154 citations · 273 across the 21 of their papers we have counts for
4 papers · 1 filter
Off-Policy Estimation of Long-Term Average Outcomes with Applications to Mobile Health
Peng Liao, Predrag Klasnja, Susan Murphy
Due to the recent advancements in wearables and sensing technology, health scientists are increasingly developing mobile health (mHealth) interventions. In mHealth interventions, m…
Personalized HeartSteps: A Reinforcement Learning Algorithm for Optimizing Physical Activity
Peng Liao, Kristjan Greenewald, Predrag Klasnja +1
With the recent evolution of mobile health technologies, health scientists are increasingly interested in developing just-in-time adaptive interventions (JITAIs), typically deliver…
Estimating Time-Varying Causal Excursion Effect in Mobile Health with Binary Outcomes
Tianchen Qian, Hyesun Yoo, Predrag Klasnja +2
Advances in wearables and digital technology now make it possible to deliver behavioral mobile health interventions to individuals in their everyday life. The micro-randomized tria…
Linear mixed models with endogenous covariates: modeling sequential treatment effects with application to a mobile health study
Tianchen Qian, Predrag Klasnja, Susan A. Murphy
Mobile health is a rapidly developing field in which behavioral treatments are delivered to individuals via wearables or smartphones to facilitate health-related behavior change. M…