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20232026
most citedIncorporating nonparametric methods for estimating causal excursion effects in mobile health with zero-inflated count outcomes

4 citations · 5 across the 8 of their papers we have counts for

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7 papers · 1 filter

stat.ME2026

Micro-randomized Trials with Categorical Treatments and Binary Proximal Outcome: Causal Effect Estimation and Sample Size Calculation

Jeremy Lin, Tianchen Qian

Micro-randomized trials (MRTs) provide a framework for evaluating the marginal and moderated effects of mobile health (mHealth) interventions. In many applications, treatments take…

stat.ME2025

Robust Estimation of Moderated Causal Excursion Odds Ratio in Micro-Randomized Trials

Jiaxin Yu, Tianchen Qian

Micro-randomized trials (MRTs) have become increasingly popular for developing and evaluating mobile health interventions that promote healthy behaviors and manage chronic conditio…

stat.ME2025

Dynamic Causal Mediation Analysis for Intensive Longitudinal Data

Tianchen Qian

Intensive longitudinal data, characterized by frequent measurements across numerous time points, are increasingly common due to advances in wearable devices and mobile health techn…

stat.ME2025

Distal Causal Excursion Effects: Modeling Long-Term Effects of Time-Varying Treatments in Micro-Randomized Trials

Tianchen Qian

Micro-randomized trials (MRTs) play a crucial role in optimizing digital interventions. In an MRT, each participant is sequentially randomized among treatment options hundreds of t…

stat.ME2024

Doubly Robust Estimation of Causal Excursion Effects in Micro-Randomized Trials with Missing Longitudinal Outcomes

Jiaxin Yu, Tianchen Qian

Micro-randomized trials (MRTs) are increasingly utilized for optimizing mobile health interventions, with the causal excursion effect (CEE) as a central quantity for evaluating int…

stat.ME2023★ 1 cited

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.ME2023★ 4 cited

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…