Mingyan Yu

PhD Student (Biostat)

University of Michigan
Email
myanyuobfuscate@umich[punto]edu

Co-advising with Michael Elliott

Mingyan is interested in Bayesian hierarchical model, longitudinal data analysis methods and their application to physical and mental health related field

Current topic: A Bayesian approach for modeling variance of intensive longitudinal biomarker data as predictors of health outcomes

Education:

2020-2022 M.S. in Biostatistics, University of Michigan, Ann Arbor

2016-2020 B.S. in Applied Psychology, Renmin University of China;

Papers (selected)

1. A Bayesian Approach to Modeling Variance of Intensive Longitudinal Biomarker Data as a Predictor of Health Outcomes (2024). Mingyan Yu, Zhenke Wu, Margaret Hicken, Michael R Elliott (2024). ► Statistics in Medicine. [paper link]