activity
20182020
most citedLinear mixed models with endogenous covariates: modeling sequential treatment effects with application to a mobile health study

9 citations · 12 across the 4 of their papers we have counts for

collaborators

6 papers

stat.AP20203 cited

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…

stat.ME2019

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…

stat.ME2019

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…

stat.ME2019

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…

stat.ME20199 cited

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…

math.ST2018

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…