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stat.ME2026
Beyond Exchangeability: Distribution-Shift-Aware Integration of External Control Data in Randomized Trials
Jiawei Shan, Yiteng Tu, Guanbo Wang +2
Randomized controlled trials (RCTs) are the gold standard for evaluating causal effects but are often costly and difficult to scale; consequently, they are frequently augmented wit…
stat.ME2026
Cluster-induced target shift and synthetic approximation for high-dimensional clustered data
Shangyuan Ye, Cong Zhang, Ying Chen +2
In high-dimensional clustered data, covariates whose distributions differ across clusters can act as proxies for unobserved cluster effects. We show that the marginal-model LASSO i…
stat.ME2026
Constructing external comparator groups via transportability in mean or in effect measure
Lawson Ung, Guanbo Wang, Sebastien Haneuse +3
Learning about causal effects in target populations and their subsets may be facilitated by combining information from multiple sources. One major class of study designs that combi…