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Orthogonalizing EM: A Design-Based Least Squares Algorithm., , , and . Technometrics, 58 (3): 285-293 (2016)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., , , , , , , , , and 13 other author(s). CoRR, (2022)A method for comparing multiple imputation techniques: A case study on the U.S. national COVID cohort collaborative., , , , , , , , , and 13 other author(s). J. Biomed. Informatics, (March 2023)Subgroup Identification Using the personalized Package., and . J. Stat. Softw., (2021)Robust Sample Weighting to Facilitate Individualized Treatment Rule Learning for a Target Population., , , and . CoRR, (2021)Accelerating Large-Scale Statistical Computation With the GOEM Algorithm., , and . Technometrics, 59 (4): 416-425 (2017)Fast Penalized Regression and Cross Validation for Tall Data with the oem Package., and . J. Stat. Softw., (2022)Meta-analysis of individualized treatment rules via sign-coherency., , and . ML4H@NeurIPS, volume 193 of Proceedings of Machine Learning Research, page 171-198. PMLR, (2022)