Predicting COVID-19 Regional Case Loads with Synthetic Data. - Adam B. Wilcox; Noa Zamstein; Randi E. Foraker; Jason A. Thomas; Kenneth Wilkins; Jon D. Morrow (AMIA, 2021)

Tell Bennet, Christopher Chute, Peter DeWitt, Kenneth Gersing, Andrew Girvin, Melissa Haendel, Jeremy Harper, Janos Hajagos, Stephanie Hong, Emily Pfaff, Jane Reusch, Corneliu Antoniescu, Kimberly Robaski: A Methodological Framework for the Comparative Evaluation of Multiple Imputation Methods: Multiple Imputation of Race, Ethnicity and Body Mass Index in the U.S. National COVID Cohort Collaborative. - Elena Casiraghi; Rachel Wong; Margaret Hall; Ben D. Coleman; Marco Notaro; Michael D. Evans; Jena S. Tronieri; Hannah Blau; Bryan Laraway; Tiffany J. Callahan; Lauren E. Chan; Carolyn T. Bramante; et al. (CoRR, 2022)

A method for comparing multiple imputation techniques: A case study on the U.S. national COVID cohort collaborative. - Elena Casiraghi; Rachel Wong; Margaret Hall; Ben D. Coleman; Marco Notaro; Michael D. Evans; Jena S. Tronieri; Hannah Blau; Bryan Laraway; Tiffany J. Callahan; Lauren E. Chan; Carolyn T. Bramante; et al. (J. Biomed. Informatics, 2023)

Finding Long-COVID: temporal topic modeling of electronic health records from the N3C and RECOVER programs. - Shawn T. O'Neil; Charisse R. Madlock-Brown; Kenneth Wilkins; Brenda M. McGrath; Hannah E. Davis; Gina S. Assaf; Hannah Wei; Parya Zareie; Evan T. French; Johanna Loomba; Julie A. McMurry; Andrea Zhou; et al. (npj Digit. Medicine, 2024)