9 citations · 17 across the 9 of their papers we have counts for
9 papers
Micro-randomized Trials with Categorical Treatments: Causal Effect Estimation and Sample Size Calculation
Jeremy Lin, Tianchen Qian
Micro-randomized trials (MRTs) are widely used to assess the marginal and moderated effect of mobile health (mHealth) treatments delivered via mobile devices. In many applications,…
Estimating Causal Effects for Binary Outcomes Using Per-Decision Inverse Probability Weighting
Yihan Bao, Lauren Bell, Elizabeth Williamson +2
Micro-randomized trials are commonly conducted for optimizing mobile health interventions such as push notifications for behavior change. In analyzing such trials, causal excursion…
The Micro-Randomized Trial for Developing Digital Interventions: Experimental Design and Data Analysis Considerations
Tianchen Qian, Ashley E. Walton, Linda M. Collins +8
Just-in-time adaptive interventions (JITAIs) are time-varying adaptive interventions that use frequent opportunities for the intervention to be adapted--weekly, daily, or even many…
The Micro-Randomized Trial for Developing Digital Interventions: Data Analysis Methods
Tianchen Qian, Michael A. Russell, Linda M. Collins +4
Although there is much excitement surrounding the use of mobile and wearable technology for the purposes of delivering interventions as people go through their day-to-day lives, da…
Improving Precision through Adjustment for Prognostic Variables in Group Sequential Trial Designs: Impact of Baseline Variables, Short-Term Outcomes, and Treatment Effect Heterogeneity
Tianchen Qian, Michael Rosenblum, Huitong Qiu
In randomized trials, appropriately adjusting for baseline variables and short-term outcomes can lead to increased precision and reduced sample size. We examine the impact of such…
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…
Deductive semiparametric estimation in Double-Sampling Designs with application to PEPFAR
Tianchen Qian, Constantine Frangakis, Constantin Yiannoutsos
Non-ignorable dropout is common in studies with long follow-up time, and it can bias study results unless handled carefully. A double-sampling design allocates additional resources…
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…
On inference validity of weighted U-statistics under data heterogeneity
Fang Han, Tianchen Qian
Motivated by challenges on studying a new correlation measurement being popularized in evaluating online ranking algorithms' performance, this manuscript explores the validity of u…