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stat.ME2025
Improving optimal subsampling through stratification
Jasper B. Yang, Thomas Lumley, Bryan E. Shepherd +1
Recent works have proposed optimal subsampling algorithms to improve computational efficiency in large datasets and to design validation studies in the presence of measurement erro…
stat.ME2025
RAILS: A Synthetic Sampling Weights for Volunteer-Based National Biobanks -- A Case Study with the All of Us Research Program
Huiding Chen, Andrew Guide, Lina Sulieman +3
While national biobanks are essential for advancing medical research, their non-probability sampling designs limit their representativeness of the target population. This paper pro…