6 papers
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…
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…
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…
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…