Biography
Dr. Yang received a B.S. degree from Fudan University and a Ph.D. in Statistics from University of New Mexico. Following his Ph.D. degree, he completed a 2-year postdoctoral research at Duke University & NIEHS, NIH under the supervision of David Dunson. He focused on application of novel Bayesian methods to applied health and medical issues. He has been working with researchers from different fields such as Public Health, Psychology, Medicine, Dental Science
Personal Statement
Dr. Yang's research interests are focused on Bayesian nonparametrics; Survival analysis, Computational statistics, Variable selection, Latent variable modeling, Structural equation modeling.
Areas of Specialty
Dr. Yang has taught a wide range of Bio/Statistics courses from introductory to advanced levels, accommodating students with diverse backgrounds including math, statistics, health sciences, medicine, economics, management, dental science, and nursing etc. . His areas of expertise encompass:
Variable Selection
Bayesian Statistics
Computational Statistics
Survival Analysis
Longitudinal Study
Key Publications
Journal Article
Yang, MingAn, 2019 Assessment of Noninferiority and Equivalence for simple crossover trials using Bayesian approach Statistics in Biosciences, vol. 10
Journal Article
Yang, MingAn, Wang, Min, Dong, Guanghui, Accepted Bayesian variable selection in linear mixed model with shrinkage prior Computational Statistics , vol. 35
Journal Article
Yang, MingAn, 2023 Yang, M. (2022). A Bayesian analysis of the incomplete block crossover design. Communication in Statistics, vol.
Journal Article
Yang, MingAn, 2013 Bayesian nonparametric centered random effects models with variable selection Biometrical Journal, vol. 55
Journal Article
Yang, MingAn, 2012 Bayesian variable selection for logistic mixed model with nonparametric random effects Computational Statistics and Data Analysis 56, 2663- 2674, vol. 56
Languages
- Chinese
- English
Courses Taught
Elementary Bio/Statistics
Computational Statistics
Bayesian Statistics
Advanced Stat Methods for PH
Longitudinal Study
Advanced Data Analysis
Statistics Analysis with R
Research and Scholarship
5 Key publications
1. Yang, M. (2022). A Bayesian analysis of the incomplete block crossover design. InPress, Communication in Statistics. https://doi.org/10.1080/03610918.2021.19664632. 2. Yang, M Wang, M, Dong, G (2020). Bayesian variable selection in linear mixed model with shrinkage prior. Computational Statistics 35, 227-2433.
3. Yang, M. (2019). Assessment of Noninferiority and Equivalence for simple crossovertrials using Bayesian approach, Statistics in Bioscience 10, 506-5194.
4. Yang, M. (2013). Bayesian nonparametric centered random effects models with variableselection, Biometrical Journal 55, 217-2305.
5. Yang, M. (2012). Bayesian variable selection for logistic mixed model withnonparametric random effects, Computational Statistics and Data Analysis 56, 2663-2674