Mao-Zai Tian (Maozai Tian)

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 17

Top Topics

Particulate Matter

Respiratory Syndrome Coronavirus

Polycyclic Aromatic Hydrocarbons

Top Venues

Journal of applied statistics

Biometrical journal. Biometrische Zeitschrift

Statistics in medicine

Statistical methods in medical research

This page only lists publications with an associated author ORCID identifier.

Publications

Yu-Zhu Tian, Man-Lai Tang, Catherine Wong, Mao-Zai Tian
Bayesian analysis of joint quantile regression for multi-response longitudinal data with application to primary biliary cirrhosis sequential cohort study. Statistical methods in medical research (2024)
Yu-Zhu Tian, Man-Lai Tang, Catherine Wong, Mao-Zai Tian
Bayesian analysis of joint quantile regression for multi-response longitudinal data with application to primary biliary cirrhosis sequential cohort study. Statistical methods in medical research 33 (7) (2024)
Shaopei Ma, Keming Yu, Man-Lai Tang, Jianxin Pan, Wolfgang Karl Härdle, Mao-Zai Tian
A Bayesian multistage spatio-temporally dependent model for spatial clustering and variable selection. Statistics in medicine (2023)
Jinwen Liang, Mao-Zai Tian
Imputed mean tensor regression for near-sited spatial temporal data. Journal of applied statistics 51 (6) (2023)
Wei Xiong, Han Pan, Jianrong Wang, Mao-Zai Tian
An efficient model-free approach to interaction screening for high dimensional data. Statistics in medicine (2023)
Zhihao Wang, Yongxin Bai, Wolfgang K Härdle, Mao-Zai Tian
Smoothed quantile regression for partially functional linear models in high dimensions. Biometrical journal. Biometrische Zeitschrift (2023)
Jinwen Liang, Mao-Zai Tian
Imputed mean tensor regression for near-sited spatial temporal data. Journal of applied statistics 51 (6) (2023)
Jinwen Liang, Mao-Zai Tian
Imputed mean tensor regression for near-sited spatial temporal data. Journal of applied statistics 51 (6) (2023)
Jinwen Liang, Mao-Zai Tian
Sparse regression for low-dimensional time-dynamic varying coefficient models with application to air quality data. Journal of applied statistics 50 (6) (2022)
Kai Wang, Zemin Luan, Zihao Guo, Jinjun Ran, Mao-Zai Tian, Shi Zhao
The Association Between Clinical Severity and Incubation Period of SARS-CoV-2 Delta Variants: Retrospective Observational Study. JMIR public health and surveillance 8 (11) (2022)
Wei Xiong, Mao-Zai Tian, Manlai Tang, Han Pan
Robust and sparse learning of varying coefficient models with high-dimensional features. Journal of applied statistics 50 (16) (2022)
Yanwu Nie, Chenchen Wang, Lei Yang, Zhen Yang, Yahong Sun, Mao-Zai Tian, Yuhua Ma, Yuxia Zhang, Yimu Yuan, Liping Zhang
Relationship Analysis of Inorganic Arsenic Exposure and Metabolic Syndrome Based on Propensity Score Matching in Xinjiang, China. Diabetes, metabolic syndrome and obesity : targets and therapy 15 (2022)
Rongxiang Rui, Mao-Zai Tian, Man-Lai Tang, George To-Sum Ho, Chun-Ho Wu
Analysis of the Spread of COVID-19 in the USA with a Spatio-Temporal Multivariate Time Series Model. International journal of environmental research and public health 18 (2) (2021)
Hanxuan Yang, Wei Xiong, Xueliang Zhang, Kai Wang, Mao-Zai Tian
Penalized homophily latent space models for directed scale-free networks. PloS one 16 (8) (2021)
Jinwen Liang, Xueliang Zhang, Kai Wang, Manlai Tang, Mao-Zai Tian
Discovering dynamic models of COVID-19 transmission. Transboundary and emerging diseases (2021)
Rongxiang Rui, Mao-Zai Tian
Joint estimation of case fatality rate of COVID-19 and power of quarantine strategy performed in Wuhan, China. Biometrical journal. Biometrische Zeitschrift 63 (1) (2020)
Yongxin Bai, Manling Qian, Mao-Zai Tian
Joint mean-covariance random effect model for longitudinal data. Biometrical journal. Biometrische Zeitschrift 62 (1) (2019)