3 citations · 5 across the 5 of their papers we have counts for
5 papers
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…
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…
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…
Weighted composite likelihood for linear mixed models in complex samples
Thomas Lumley, Xudong Huang
Fitting mixed models to complex survey data is a challenging problem. Most methods in the literature, including the most widely used one, require a close relationship between the m…
Delivering data differently
Gwynn Sturdevant, A. Jonathan R. Godfrey, Andrew Gelman
Human-computer interaction relies on mouse/touchpad, keyboard, and screen, but tools have recently been developed that engage sound, smell, touch, muscular resistance, voice dialog…