Noorie Hyun, PhD
Assistant Professor
Locations
- Biostatistics
Contact Information
Research Interests
Dr. Noorie Hyun joined the Division of Biostatistics in November 2017. Her methodological research and the majority of collaborative work address time-to-event data (particularly interval censored data) and complex probability samples in health science. She also has methodological research interests in synthesizing external information in using electronic health records to enhance statistical inference and unraveling health disparities using statistical approaches, eventually to improve population healthcare. She works as a biostatistician for the Center for Advancing Population Science.
Dr. Hyun's research focuses on developing statistical methods to tackle problems arising in healthcare and population science. Her methodological research and majority of collaborative work address time-to-event data (particularly interval censored data), and complex probability samples in health science. She has developed (1) semiparametric models for skewed and continuous biomarker data subject to measurement error; (2) semiparametric/spline risk prediction models for survival outcomes with the purpose of enhancing cancer screening and; (3) methodology for designing and analyzing complex probability samples with multi-stage stratified cluster designs and sample weights. In addition, she is also interested in synthesizing external information in using electronic health records to enhance statistical inference, eventually improving population healthcare. For collaborative research she has worked on cervical, lung, oral, and testicular cancers and diabetes, osteoporosis, kidney and respiratory disease.
Publications
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Prioritized concordance index for hierarchical survival outcomes.
(Cheung LC, Pan Q, Hyun N, Katki HA.) Stat Med. 2019 Apr 07.
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Trends in Major Gastrectomy for Cancer: Frequency and Outcomes.
(Groh EM, Hyun N, Check D, Heller T, Ripley RT, Hernandez JM, Graubard BI, Davis JL.) J Gastrointest Surg. 2018 Dec 03.
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Automated Cervical Screening and Triage, Based on HPV Testing and Computer-Interpreted Cytology.
(Yu K, Hyun N, Fetterman B, Lorey T, Raine-Bennett TR, Zhang H, Stamps RE, Poitras NE, Wheeler W, Befano B, Gage JC, Castle PE, Wentzensen N, Schiffman M.) J Natl Cancer Inst. 2018 Nov 01;110(11):1222-1228.
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(Hyun N, Gastwirth JL, Graubard BI.) Stat Med. 2018 Jun 15;37(13):2174-2186.
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(Landy R, Cheung LC, Schiffman M, Gage JC, Hyun N, Wentzensen N, Kinney WK, Castle PE, Fetterman B, Poitras NE, Lorey T, Sasieni PD, Katki HA.) Prev Med. 2018 06;111:429-435.
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(Demarco M, Carter-Pokras O, Hyun N, Castle PE, He X, Dallal CM, Chen J, Gage JC, Befano B, Fetterman B, Lorey T, Poitras N, Raine-Bennett TR, Wentzensen N, Schiffman M.) J Clin Microbiol. 2018 05;56(5).
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Semiparametric Additive Model for Estimating Risk Difference in Multicenter Studies.
(Zeng D, Hyun N, Cai J.) Biostat Epidemiol. 2018;2(1):84-98.
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(Cheung LC, Pan Q, Hyun N, Schiffman M, Fetterman B, Castle PE, Lorey T, Katki HA.) Stat Med. 2017 Sep 30;36(22):3583-3595.
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(Matsushita K, Kwak L, Hyun N, Bessel M, Agarwal SK, Loehr LR, Ni H, Chang PP, Coresh J, Wruck LM, Rosamond W.) PLoS One. 2017;12(8):e0181373.
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(Wilcox AN, Silverman DT, Friesen MC, Locke SJ, Russ DE, Hyun N, Colt JS, Figueroa JD, Rothman N, Moore LE, Koutros S.) Cancer Causes Control. 2016 Dec;27(12):1429-1435.
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Gumbel regression models for a monotone increasing continuous biomarker subject to measurement error
(Hyun N, Couper DJ, Zeng D.) Journal of Statistical Planning and Inference. .
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Flexible risk prediction models for left or interval-censored data from electronic health records
(Hyun N, Cheung LC, Pan Q, Schiffman M, Katki HA.) Annals of Applied Statistics. Ann. Appl. Stat 2017; 11(2):1063--1084.