3 papers
stat.ML2024
Thompson sampling for zero-inflated count outcomes with an application to the Drink Less mobile health study
Xueqing Liu, Nina Deliu, Tanujit Chakraborty +2
Mobile health (mHealth) interventions often aim to improve distal outcomes, such as clinical conditions, by optimizing proximal outcomes through just-in-time adaptive interventions…
stat.ME2024
Efficient and Globally Robust Causal Excursion Effect Estimation
Zhaoxi Cheng, Lauren Bell, Tianchen Qian
Causal excursion effect (CEE) characterizes the effect of an intervention under policies that deviate from the experimental policy. It is widely used to study the effect of time-va…
stat.ME2024
Incorporating nonparametric methods for estimating causal excursion effects in mobile health with zero-inflated count outcomes
Xueqing Liu, Tianchen Qian, Lauren Bell +1
In mobile health, tailoring interventions for real-time delivery is of paramount importance. Micro-randomized trials have emerged as the "gold-standard" methodology for developing…