14 citations · 47 across the 15 of their papers we have counts for
15 papers
Assessing mediation in cross-sectional stepped wedge cluster randomized trials
Zhiqiang Cao, Fan Li
Mediation analysis has been comprehensively studied for independent data but relatively little work has been done for correlated data, especially for the increasingly adopted stepp…
How should parallel cluster randomized trials with a baseline period be analyzed? A survey of estimands and common estimators
Kenneth Menglin Lee, Fan Li
The parallel cluster randomized trial with baseline (PB-CRT) is a common variant of the standard parallel cluster randomized trial (P-CRT). We define two natural estimands in the c…
What's the Weight? Estimating Controlled Outcome Differences in Complex Surveys for Health Disparities Research
Stephen Salerno, Emily K. Roberts, Belinda L. Needham +4
In this work, we are motivated by the problem of estimating racial disparities in health outcomes, specifically the average controlled difference (ACD) in telomere length between B…
Power calculation for cross-sectional stepped wedge cluster randomized trials with a time-to-event endpoint
Mary Ryan Baumann, Denise Esserman, Monica Taljaard +1
Stepped wedge cluster randomized trials (SW-CRTs) are a form of randomized trial whereby clusters are progressively transitioned from control to intervention, with the timing of tr…
Group sequential two-stage preference designs
Ruyi Liu, Fan Li, Denise Esserman +1
The two-stage preference design (TSPD) enables the inference for treatment efficacy while allowing for incorporation of patient preference to treatment. It can provide unbiased est…
Maintaining the validity of inference from linear mixed models in stepped-wedge cluster randomized trials under misspecified random-effects structures
Yongdong Ouyang, Monica Taljaard, Andrew B Forbes +1
Linear mixed models are commonly used in analyzing stepped-wedge cluster randomized trials (SW-CRTs). A key consideration for analyzing a SW-CRT is accounting for the potentially c…
Model-assisted analysis of covariance estimators for stepped wedge cluster randomized experiments
Xinyuan Chen, Fan Li
Stepped wedge cluster randomized experiments (SW-CREs) represent a class of unidirectional crossover designs. Although SW-CREs have become popular, definitions of estimands and rob…
Demystifying estimands in cluster-randomised trials
Brennan C Kahan, Bryan Blette, Michael Harhay +4
Estimands can help clarify the interpretation of treatment effects and ensure that estimators are aligned to the study's objectives. Cluster randomised trials require additional at…
Maximin optimal cluster randomized designs for assessing treatment effect heterogeneity
Mary M. Ryan, Denise Esserman, Fan Li
Cluster randomized trials (CRTs) are studies where treatment is randomized at the cluster level but outcomes are typically collected at the individual level. When CRTs are employed…
Assessing treatment effect heterogeneity in the presence of missing effect modifier data in cluster-randomized trials
Bryan S. Blette, Scott D. Halpern, Fan Li +1
Understanding whether and how treatment effects vary across subgroups is crucial to inform clinical practice and recommendations. Accordingly, the assessment of heterogeneous treat…
Covariate Adjustment in Randomized Clinical Trials with Missing Covariate and Outcome Data
Chia-Rui Chang, Yue Song, Fan Li +1
When analyzing data from randomized clinical trials, covariate adjustment can be used to account for chance imbalance in baseline covariates and to increase precision of the treatm…
Addressing Extreme Propensity Scores in Estimating Counterfactual Survival Functions via the Overlap Weights
Chao Cheng, Fan Li, Laine Thomas
The inverse probability weighting approach is popular for evaluating treatment effects in observational studies, but extreme propensity scores could bias the estimator and induce e…
Clarifying Selection Bias in Cluster Randomized Trials: Estimands and Estimation
Fan Li, Zizhong Tian, Jennifer Bobb +1
In cluster randomized trials, patients are typically recruited after clusters are randomized, and the recruiters and patients may not be blinded to the assignment. This often leads…
Covariate adjustment in subgroup analyses of randomized clinical trials: A propensity score approach
Siyun Yang, Fan Li, Laine E. Thomas
Background: Subgroup analyses are frequently conducted in randomized clinical trials to assess evidence of heterogeneous treatment effect across patient subpopulations. Although ra…
Propensity Score Weighting for Covariate Adjustment in Randomized Clinical Trials
Shuxi Zeng, Fan Li, Rui Wang
Chance imbalance in baseline characteristics is common in randomized clinical trials. Regression adjustment such as the analysis of covariance (ANCOVA) is often used to account for…