Orthogonalizing EM: A Design-Based Least Squares Algorithm. - Shifeng Xiong; Bin Dai; Jared D. Huling; Peter Z. G. Qian (Technometrics, 2016)

Accelerating Large-Scale Statistical Computation With the GOEM Algorithm. - Xiao Nie; Jared D. Huling; Peter Z. G. Qian (Technometrics, 2017)

Robust Sample Weighting to Facilitate Individualized Treatment Rule Learning for a Target Population. - Rui Chen; Jared D. Huling; Guanhua Chen 002; Menggang Yu (CoRR, 2021)

Subgroup Identification Using the personalized Package. - Jared D. Huling; Menggang Yu (J. Stat. Softw., 2021)

Meta-analysis of individualized treatment rules via sign-coherency. - Jay Jojo Cheng; Jared D. Huling; Guanhua Chen 002 (ML4H@NeurIPS, 2022)

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)

Fast Penalized Regression and Cross Validation for Tall Data with the oem Package. - Jared D. Huling; Peter Chien (J. Stat. Softw., 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)

An effective framework for estimating individualized treatment rules. - Joowon Lee; Jared D. Huling; Guanhua Chen 002 (NeurIPS, 2024)