Dayu Sun, PhD
Assistant Professor of Biostatistics & Health Data Science
- dayusun@iu.edu
- Phone
- 317-274-2661
- Address
-
HITS 3057
BSAT
Indianapolis, IN - PubMed:
Bio
Personal website: https://www.sundayu.me/
Dayu Sun is currently an assistant professor in the Department of Biostatistics and Health Data Science at Indiana University School of Medicine. Previously, he was a postdoctoral fellow in the Department of Biostatistics and Bioinformatics at Emory University.
He obtained a Ph.D. in statistics from the University of Missouri. Dayu Sun earned an M.Phil. in statistics from The Hong Kong Polytechnic University and a Bachelor of Science from the same institution.
Key Publications
- Sun, D., Guo, Y., Li, Y., Tu,W., and Sun, J. (2024). “A robust approach for regression analysis of
panel count data with time-varying covariates,” Bernoulli, 30 (4), 3251–3275. doi:
10.3150/23-bej1713. - Guo, Y., Sun, D., and Sun, J. (2023). “Regression analysis of panel count data with both
time-dependent covariates and time-varying effects,” Statistica Sinica, 33, 1–21. doi:
10.5705/ss.202021.0036. - Zhao, H., Sun, D., Li, G., and Sun, J. (2018). “Variable selection for recurrent event data with
broken adaptive ridge regression,” Canadian Journal of Statistics, 46 (3), 416–428. doi:
10.1002/cjs.11459. - Shen, L., Sun, D., Ye, Z., and Zhao, X. (2017). “Inference on an adaptive accelerated life test with
application to smart-grid data-acquisition-devices,” Journal of Quality Technology, 49 (3), 191–212. doi: 10.1080/00224065.2017.11917990.
Year | Degree | Institution |
---|---|---|
2020 | PhD | University of Missouri |
2019 | MA | University of Missouri |
2016 | MPHIL | Hong Kong Polytechnic University |
2013 | BS | Hong Kong Polytechnic University |
- high-dimensional tensor data analysis with application to neuroimaging data, especially brain connectivity
- joint analysis of intermittently observed longitudinal data and complex time-to-event data, including right-censored and interval-censored survival data, and panel count data,
- statistical analysis for mental health studies, aging, criminology and clinical trials.
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