PIE: A prior knowledge guided integrated likelihood estimation method for bias reduction in association studies using electronic health records data. - Jing Huang 021; Rui Duan 004; Rebecca A. Hubbard; Yonghui Wu; Jason H. Moore; Hua Xu 001; Yong Chen 016 (J. Am. Medical Informatics Assoc., 2018)

Analysis of Spatial Trends in Smoking Status Among Patients with Obstructive Airway Diseases Highlight Potential for Targeted Interventions. - Sherrie Xie; Rebecca A. Hubbard; Blanca E. Himes (AMIA, 2019)

Impact of Individual versus Geographic-Area Measures of Socioeconomic Status on Health Associations Observed in the Behavioral Risk Factor Surveillance System. - Lena Leszinsky; Sherrie Xie; Avantika Diwadkar; Rebecca Greenblatt; Rebecca A. Hubbard; Blanca E. Himes (AMIA, 2020)

Identifying Actionable Aspects of Frailty in the Text of Encounter Notes. - Jacob A. Martin; Andrew Crane-Droesch; Folasade C. Lapite; Joseph C. Puhl; Jasmine A. Silvestri; Bruce P. Kinosian; Blanca E. Himes; Rebecca A. Hubbard; Vivek N. Ahya; Michael W. Sims; Joshua M. Diamond; Joseph Adler; et al. (AMIA, 2020)

Ideas for how informaticians can get involved with COVID-19 research. - Jason H. Moore; Ian Barnett; Mary Regina Boland; Yong Chen 016; George Demiris; Graciela Gonzalez-Hernandez; Daniel S. Herman; Blanca E. Himes; Rebecca A. Hubbard; Dokyoon Kim; Jeffrey S. Morris; Danielle L. Mowery; et al. (BioData Min., 2020)

An augmented estimation procedure for EHR-based association studies accounting for differential misclassification. - Jiayi Tong; Jing Huang 021; Jessica Chubak; Xuan Wang; Jason H. Moore; Rebecca A. Hubbard; Yong Chen 016 (J. Am. Medical Informatics Assoc., 2020)

Development and validation of a prediction model for actionable aspects of frailty in the text of clinicians' encounter notes. - Jacob A. Martin; Andrew Crane-Droesch; Folasade C. Lapite; Joseph C. Puhl; Tyler E. Kmiec; Jasmine A. Silvestri; Lyle H. Ungar; Bruce P. Kinosian; Blanca E. Himes; Rebecca A. Hubbard; Joshua M. Diamond; Vivek N. Ahya; et al. (J. Am. Medical Informatics Assoc., 2021)

A cost-effective chart review sampling design to account for phenotyping error in electronic health records (EHR) data. - Ziyan Yin; Jiayi Tong; Yong Chen 016; Rebecca A. Hubbard; Cheng Yong Tang (J. Am. Medical Informatics Assoc., 2021)

Studying pediatric health outcomes with electronic health records using Bayesian clustering and trajectory analysis. - Rebecca A. Hubbard; Jinyu Xu; Robert Siegel; Yong Chen 016; Ihuoma Eneli (J. Biomed. Informatics, 2021)

Informative presence bias in analyses of electronic health records-derived data: a cautionary note. - Joanna Harton; Nandita A. Mitra; Rebecca A. Hubbard (J. Am. Medical Informatics Assoc., 2022)

SAT: a Surrogate-Assisted Two-wave case boosting sampling method, with application to EHR-based association studies. - Xiaokang Liu; Jessica Chubak; Rebecca A. Hubbard; Yong Chen 016 (J. Am. Medical Informatics Assoc., 2022)

Confidence score: a data-driven measure for inclusive systematic reviews considering unpublished preprints. - Jiayi Tong; Chongliang Luo; Yifei Sun; Rui Duan 004; M. Elle Saine; Lifeng Lin; Yifan Peng 002; Yiwen Lu; Anchita Batra; Anni Pan; Olivia Wang; Ruowang Li; et al. (J. Am. Medical Informatics Assoc., 2024)

Leveraging error-prone algorithm-derived phenotypes: Enhancing association studies for risk factors in EHR data. - Yiwen Lu; Jiayi Tong; Jessica Chubak; Thomas Lumley; Rebecca A. Hubbard; Hua Xu 001; Yong Chen 016 (J. Biomed. Informatics, 2024)