Tao Wang, PhD
Research & Publications
Biography
Research Summary
Dr. Wang’s research focuses on developing statistical methods and theory for modeling high-dimensional and complex data, with applications to high-throughput biomedical data such as human micobiome data. He has published 30 papers in flagship journals including Journal of the American Statistical Association, Journal of the Royal Statistical Society: Series B, Biometrika, Biometrics, and The Annals of Applied Statistics.
Coauthors
Selected Publications
- An adaptive independence test for microbiome community data.Song Y, Zhao H, Wang T. An adaptive independence test for microbiome community data. Biometrics 2020, 76:414-426.
- Prediction analysis for microbiome sequencing data.Wang T, Yang C, Zhao H. Prediction analysis for microbiome sequencing data. Biometrics 2019, 75:875-884.
- Estimating DNA methylation levels by joint modeling of multiple methylation profiles from microarray data.Wang T, Chen M, Zhao H. Estimating DNA methylation levels by joint modeling of multiple methylation profiles from microarray data. Biometrics 2016, 72:354-63.
- A Dirichlet-tree multinomial regression model for associating dietary nutrients with gut microorganisms.Wang T, Zhao H. A Dirichlet-tree multinomial regression model for associating dietary nutrients with gut microorganisms. Biometrics 2017, 73:792-801.
- On joint estimation of Gaussian graphical models for spatial and temporal data.Lin Z, Wang T, Yang C, Zhao H. On joint estimation of Gaussian graphical models for spatial and temporal data. Biometrics 2017, 73:769-779.
- Counting process-based dimension reduction methods for censored outcomes.Sun Q, Zhu R, Wang T, Zeng D. Counting process-based dimension reduction methods for censored outcomes. Biometrika 2019, 106:181-196.