57 citations · 79 across the 11 of their papers we have counts for
13 papers
Heterogeneous survivor average causal effects beyond monotonicity: Applications to a clinical trial evaluating mechanical ventilation strategies
Zihan Zhu, Guangyu Tong, Fernando Godinho Zampieri +3
Clinical trials in critical care often evaluate outcomes that are truncated by death, such as time to discharge alive, for which treatment effects are not well defined among patien…
Cluster randomized crossover trials with very few clusters but multiple periods: which analyses for continuous outcomes should be used?
Guangyu Tong, Qianzhe Sun, Jessica Kasza +3
Cluster randomized crossover (CRXO) trials are often used when individual randomization is impractical and the number of available clusters is limited. However, statistical analysi…
Doubly robust estimators of the restricted mean time in favor estimands in individual- and cluster-randomized trials
Xi Fang, Bingkai Wang, Guangyu Tong +3
Progressive multi-state survival outcomes are common in trials with recurrent or sequential events and require treatment effect estimands that remain interpretable without proporti…
Can discrete-time analyses be trusted for stepped wedge trials with continuous recruitment?
Hao Wang, Guangyu Tong, Heather Allore +3
In stepped wedge cluster randomized trials (SW-CRTs), the intervention is rolled out to clusters sequentially over multiple periods. It is common practice to analyze data from SW-C…
Uncovering Treatment Effect Heterogeneity in Pragmatic Gerontology Trials
Changjun Li, Heather Allore, Michael O. Harhay +2
Detecting heterogeneity in treatment response enriches the interpretation of gerontologic trials. In aging research, estimating the effect of the intervention on clinically meaning…
Covariate-adjusted win statistics in randomized clinical trials with ordinal outcomes
Zhiqiang Cao, Scott Zuo, Mary Ryan Baumann +4
Ordinal outcomes are common in clinical settings where they often represent increasing levels of disease progression or different levels of functional impairment. In this article,…
Principal stratification with recurrent events truncated by a terminal event: A nested Bayesian nonparametric approach
Yuki Ohnishi, Michael O. Harhay, Guangyu Tong +1
Recurrent events often serve as key endpoints in clinical studies but may be prematurely truncated by terminal events such as death, creating selection bias and complicating causal…
Bayesian inference for cluster-randomized trials with multivariate outcomes subject to both truncation by death and missingness
Guangyu Tong, Chenxi Li, Eric Velazquez +2
Cluster-randomized trials (CRTs) on fragile populations frequently encounter complex attrition problems where the reasons for missing outcomes can be heterogeneous, with participan…
A tutorial on conducting sample size and power calculations for detecting treatment effect heterogeneity in cluster randomized trials with linear mixed models
Mary Ryan Baumann, Monica Taljaard, Patrick J. Heagerty +4
Cluster-randomized trials (CRTs) are a well-established class of designs for evaluating community-based interventions. An essential task in planning these trials is determining the…
Moving toward best practice when using propensity score weighting in survey observational studies
Yukang Zeng, Fan Li, Guangyu Tong
Propensity score weighting is a common method for estimating treatment effects with survey data. The method is applied to minimize confounding using measured covariates that are of…
Doubly robust estimation and sensitivity analysis with outcomes truncated by death in multi-arm clinical trials
Jiaqi Tong, Chao Cheng, Guangyu Tong +2
In clinical trials, the observation of participant outcomes may frequently be hindered by death, leading to ambiguity in defining a scientifically meaningful final outcome for thos…
A Bayesian Machine Learning Approach for Estimating Heterogeneous Survivor Causal Effects: Applications to a Critical Care Trial
Xinyuan Chen, Michael O. Harhay, Guangyu Tong +1
Motivated by the Acute Respiratory Distress Syndrome Network (ARDSNetwork) ARDS respiratory management (ARMA) trial, we developed a flexible Bayesian machine learning approach to e…
PSweight: An R Package for Propensity Score Weighting Analysis
Tianhui Zhou, Guangyu Tong, Fan Li +1
Propensity score weighting is an important tool for comparative effectiveness research.Besides the inverse probability of treatment weights (IPW), recent development has introduced…