9 papers
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,…
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), interventions are sequentially rolled out to clusters over multiple periods. It is common practice to analyze data from SW-CRT…
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…
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…
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 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…