Nonparametric variable importance using an augmented neural network with multi-task learning. - Jean Feng; Brian D. Williamson; Marco Carone; Noah Simon (ICML, 2018)

Prediction of VRC01 neutralization sensitivity by HIV-1 gp160 sequence features. - Craig A. Magaret; David C. Benkeser; Brian D. Williamson; Bhavesh Borate; Lindsay N. Carpp; Ivelin S. Georgiev; Ian Setliff; Adam S. Dingens; Noah Simon; Marco Carone; Christopher Simpkins; David C. Montefiori; et al. (PLoS Comput. Biol., 2019)

Efficient nonparametric statistical inference on population feature importance using Shapley values. - Brian D. Williamson; Jean Feng (ICML, 2020)

Improving random forest predictions in small datasets from two-phase sampling designs. - Sunwoo Han; Brian D. Williamson; Youyi Fong (BMC Medical Informatics Decis. Mak., 2021)

Super LeArner Prediction of NAb Panels (SLAPNAP): a containerized tool for predicting combination monoclonal broadly neutralizing antibody sensitivity. - Brian D. Williamson; Craig A. Magaret; Peter B. Gilbert; Sohail Nizam; Courtney Simmons; David C. Benkeser (Bioinform., 2021)

rigr: Regression, Inference, and General Data Analysis Tools in R. - Yiqun T. Chen 001; Brian D. Williamson; Taylor Okonek; Charles J. Wolock; Andrew J. Spieker; Travis Y. Hee Wai; James P. Hughes 003; Scott S. Emerson; Amy Willis (J. Open Source Softw., 2022)

Practical considerations for variable screening in the Super Learner. - Brian D. Williamson; Drew King; Ying Huang (CoRR, 2023)

A general framework for developing computable clinical phenotype algorithms. - David S. Carrell; James S. Floyd; Susan Gruber; Brian L. Hazlehurst; Patrick J. Heagerty; Jennifer C. Nelson; Brian D. Williamson; Robert Ball (J. Am. Medical Informatics Assoc., 2024)

Importance of variables from different time frames for predicting self-harm using health system data. - Charles J. Wolock; Brian D. Williamson; Susan M. Shortreed; Gregory E. Simon; Karen J. Coleman; Rodney Yeargans; Brian K. Ahmedani; Yihe G. Daida; Frances L. Lynch; Rebecca C. Rossom; Rebecca A. Ziebell; Maricela Cruz; et al. (J. Biomed. Informatics, 2024)

Data-driven automated classification algorithms for acute health conditions: applying PheNorm to COVID-19 disease. - Joshua C. Smith; Brian D. Williamson; David J. Cronkite; Daniel Park; Jill M. Whitaker; Michael F. McLemore; Joshua Osmanski; Robert Winter 003; Arvind Ramaprasan; Ann Kelley; Mary Shea; Saranrat Wittayanukorn; et al. (J. Am. Medical Informatics Assoc., 2024)

Behavior of prediction performance metrics with rare events. - Emily Minus; R. Yates Coley; Susan M. Shortreed; Brian D. Williamson (CoRR, 2025)