14 citations · 14 across the 3 of their papers we have counts for
3 papers
stat.ME2025
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…
stat.ME2024
Handling incomplete outcomes and covariates in cluster-randomized trials: doubly-robust estimation, efficiency considerations, and sensitivity analysis
Bingkai Wang, Fan Li, Rui Wang
In cluster-randomized trials (CRTs), missing data can occur in various ways, including missing values in outcomes and baseline covariates at the individual or cluster level, or com…
stat.ME2022★ 14 cited
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…