11 citations · 21 across the 6 of their papers we have counts for
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stat.ME2023★ 2 cited
Multi-Study R-Learner for Estimating Heterogeneous Treatment Effects Across Studies Using Statistical Machine Learning
Cathy Shyr, Boyu Ren, Prasad Patil +1
Estimating heterogeneous treatment effects (HTEs) is crucial for precision medicine. While multiple studies can improve the generalizability of results, leveraging them for estimat…
stat.ME2020★ 4 cited
Cross-validation Approaches for Multi-study Predictions
Boyu Ren, Prasad Patil, Francesca Dominici +2
We consider prediction in multiple studies with potential differences in the relationships between predictors and outcomes. Our objective is to integrate data from multiple studies…