3 papers
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
Assessing treatment effects in observational data with missing confounders: A comparative study of practical doubly-robust and traditional missing data methods
Brian D. Williamson, Chloe Krakauer, Eric Johnson +13
In pharmacoepidemiology, safety and effectiveness are frequently evaluated using readily available administrative and electronic health records data. In these settings, detailed co…
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…