Personal profile
University profile
Dr. Haiyan Su received a Ph.D degree from the Department of Biostatistics and Computational Biology in University of Rochester Medical Center. Her research interest lies in both statistical methodology development and biostatistics application. The general goal of her research is to develop flexible statistical methods for complex data and to gain better inference. In particular she is interested in pursuing research in empirical likelihood-based method, partially linear models, survival analysis, nonparametric and semi-parametric regression. Dr. Su's collaborative research focuses on environmental statistics, public health and medical studies.
Research interests
Statistical methodology development and biostatistics application, with the general goal of developing flexible statistical methods for complex data and to gain better inference. Collaborative research focuses on environmental statistics, public health and medical studies.
Scholarly Interests
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being
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Collaborations and top research areas from the last five years
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Neurophysiological Markers of Cancer-Related Fatigue Derived from High-Density EEG
Handiru, V. S., Suviseshamuthu, E. S., Su, H. & Yue, G. H., Feb 2026, In: Brain Topography. 39, 1, 7.Research output: Contribution to journal › Article › peer-review
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Empirical-Likelihood-Based Inference for Partially Linear Models
Su, H. & Chen, L., Jan 2024, In: Mathematics. 12, 1, 162.Research output: Contribution to journal › Article › peer-review
Open Access -
Identifying neural correlates of balance impairment in traumatic brain injury using partial least squares correlation analysis
Handiru, V. S., Suviseshamuthu, E. S., Saleh, S., Su, H., Yue, G. & Allexandre, D., 1 Oct 2024, In: Journal of Neural Engineering. 21, 5, 056012.Research output: Contribution to journal › Article › peer-review
1 Link opens in a new tab Scopus citations -
KbhbXG: A Machine learning architecture based on XGBoost for prediction of lysine β-Hydroxybutyrylation (Kbhb) modification sites
Chen, L., Liu, L., Su, H. & Xu, Y., Jul 2024, In: Methods. 227, p. 27-34 8 p.Research output: Contribution to journal › Article › peer-review
7 Link opens in a new tab Scopus citations -
Neuromodulation in Spinal Cord Injury Using Transcutaneous Spinal Stimulation—Mapping for a Blood Pressure Response: A Case Series
Engel-Haber, E., Bheemreddy, A., Bayram, M. B., Ravi, M., Zhang, F., Su, H., Kirshblum, S. & Forrest, G. F., 1 Sep 2024, In: Neurotrauma Reports. 5, 1, p. 845-856 12 p.Research output: Contribution to journal › Article › peer-review
Open Access11 Link opens in a new tab Scopus citations
Press/Media
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HMN: Enhanced cardiovascular function with spinal cord transcutaneous stimulation in high-level spinal cord injury
29/10/24
1 item of Media coverage
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Kessler Foundation: Article Reveals Enhanced Cardiovascular Function with Spinal Cord Transcutaneous Stimulation in High-Level SCI
28/10/24 → 29/10/24
2 items of Media coverage
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Montclair State University Researcher Provides New Insights into Mathematics (Empirical-Likelihood-Based Inference for Partially Linear Models)
18/01/24
1 item of Media coverage
Press/Media