Rebecca A. Hubbard

According to our database, Rebecca A. Hubbard authored at least 13 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, Yong Chen

J. Biomed. Informatics, 2024

Confidence score: a data-driven measure for inclusive systematic reviews considering unpublished preprints.

Jiayi Tong, Chongliang Luo, Yifei Sun, Rui Duan, M. Elle Saine, Lifeng Lin, Yifan Peng, Yiwen Lu, Anchita Batra, Anni Pan, Olivia Wang, Ruowang Li, Arielle Marks-Anglin, Yuchen Yang, Xu Zuo, Yulun Liu, Jiang Bian, Stephen E. Kimmel, Keith Hamilton, Adam Cuker, Rebecca A. Hubbard, Hua Xu, Yong Chen

J. Am. Medical Informatics Assoc., 2024

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

J. Am. Medical Informatics Assoc., 2022

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

2021

Studying pediatric health outcomes with electronic health records using Bayesian clustering and trajectory analysis.

Rebecca A. Hubbard, Jinyu Xu, Robert Siegel, Yong Chen, Ihuoma Eneli

J. Biomed. Informatics, 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, Rebecca A. Hubbard, Cheng Yong Tang

J. Am. Medical Informatics Assoc., 2021

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, Michael W. Sims, Scott D. Halpern, Gary E. Weissman

J. Am. Medical Informatics Assoc., 2021

2020

An augmented estimation procedure for EHR-based association studies accounting for differential misclassification.

Jiayi Tong, Jing Huang, Jessica Chubak, Xuan Wang, Jason H. Moore, Rebecca A. Hubbard, Yong Chen

J. Am. Medical Informatics Assoc., 2020

Ideas for how informaticians can get involved with COVID-19 research.

Jason H. Moore, Ian Barnett, Mary Regina Boland, Yong Chen, George Demiris, Graciela Gonzalez-Hernandez, Daniel S. Herman, Blanca E. Himes, Rebecca A. Hubbard, Dokyoon Kim, Jeffrey S. Morris, Danielle L. Mowery, Marylyn D. Ritchie, Li Shen, Ryan J. Urbanowicz, John H. Holmes

BioData Min., 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, Elizabeth Steele, Emily Ott, Lyle H. Ungar, Scott D. Halpern, Gary E. Weissman

Proceedings of the AMIA 2020, 2020

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

Proceedings of the AMIA 2020, 2020

2019

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

Proceedings of the AMIA 2019, 2019

2018

PIE: A prior knowledge guided integrated likelihood estimation method for bias reduction in association studies using electronic health records data.

Jing Huang, Rui Duan, Rebecca A. Hubbard, Yonghui Wu, Jason H. Moore, Hua Xu, Yong Chen

J. Am. Medical Informatics Assoc., 2018