Ying Wei
Ying Wei is a statistician and a professor of biostatistics in the Columbia University Mailman School of Public Health, working primarily on quantile regression, semiparametric models of longitudinal data, and their applications.Wei graduated with a B.S. degree in 1998 and a master's degree in 2001 from the University of Science and Technology of China. In 2004, Wei earned her Ph.D. in statistics from the University of Illinois at Urbana–Champaign. Her dissertation, ''Longitudinal Growth Charts Based on Semiparametric Quantile Regression'', was completed under the supervision of Xuming He. Since 2004, Wei has been a faculty member of Biostatistics in the Columbia University, and also an affiliated member of the Data Science Institute.
In 2011, Wei received the Noether Young Scholar Award of the American Statistical Association, "for outstanding early contributions to nonparametric statistics." In 2015, Wei was elected as a Fellow of the American Statistical Association. Wei is also an elected member of the International Statistical Institute. In 2020 she was named as a Fellow of the Institute of Mathematical Statistics "for contributions to the development, dissemination, and application of mathematical statistics". Provided by Wikipedia
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2by Wang, Xiao-Yan, Wei, Ying, Feng, Li-Juan, Yuan, Xian-Zheng, Wang, Shu-Guang, Xia, Peng-FeiGet access
Published in ACS ES&T Water (2024)
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3by Bing-Cheng Zhao, Hong-Ye Jiang, Wei-Ying Ma, Da-Di Jin, Hao-Miao Li, Hai Lu, Hideaki Nakajima, Tong-Yi Huang, Kai-Yu Sun, Shu-Ling Chen, Ke-Bing ChenGet access
Published in PLOS Neglected Tropical Diseases (2016)
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4by Chao Liang, Xue-yin Chen, Xue Gao, Hong-jian Chen, Ying-xia Jin, Yao Zhou, Ming-hong Li, Wen-cong Wang, Wei-ying Lu, Yuan-hua Huang, Jun Wang, Qi Li, Yan-lin MaGet access
Published in Asian Pacific Journal of Tropical Medicine (2019)
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