PICTURE Tiejun Tong, PhD

Department of Mathematics
Hong Kong Baptist University
Kowloon Tong, Hong Kong

Office: FSC1201, Fong Shu Chuen Building
Phone: (852) 3411-7340
Fax: (852) 3411-5811
Email: tongt(at)hkbu.edu.hk

     Professional Experience
              2013-                Associate Professor, Department of Mathematics, Hong Kong Baptist University
              2010-2013        Assistant Professor, Department of Mathematics, Hong Kong Baptist University
              2007-2011        Assistant Professor, Department of Applied Mathematics, University of Colorado at Boulder (on leave during 2010-2011)
              2005-2007        Postdoctoral Associate, Department of Biostatistics, Yale University

     Academic Qualification
              PhD in Statistics (2005), Department of Statistics and Applied Probability, University of California at Santa Barbara
              MSc in Statistics (2001), Department of Statistics and Finance, University of Science and Technology of China
              BSc in Electronic Engineering (1998), School of the Gifted Young, University of Science and Technology of China

     Teaching Experience

     Research Interests and Publications (Papers by Year,  Google Scholar,  Researcher ID,  Scopus ID,  ORCID ID)
              Medical statistics and meta-analysis (Papers)
              High-dimensional data analysis (Papers)
              Nonparametric and semiparametric regression (Papers)

     Current and Former Students

     Editorial Board
              Co-Guest Editor, Special Issue on "Modern Meta-Analysis and Network Meta-Analysis", Statistics and Its Interface
              Associate Editor, Statistics and Its Interface, 2017-present
              Review Editor, Frontiers in Bioinformatics and Computational Biology, 2016-present

     Honors and Awards
              Math Citation Award, Hong Kong Baptist University, 2018, 2017, 2016
              Guest Professor, Zhejiang Gongshang University, 2015
              Elected Member, International Statistical Institute, 2009-present
              Junior Faculty Development Award, University of Colorado at Boulder, 2009
              Ruth and Joe Gani Prize, University of California at Santa Barbara, 2006
              Abraham Wald Memorial Prize, University of California at Santa Barbara, 2002

     Three Most Representative Publications
  1. Dehui Luo, Xiang Wan, Jiming Liu and Tiejun Tong (2018). Optimally estimating the sample mean from the sample size, median, mid-range and/or mid-quartile range. Statistical Methods in Medical Research, 27: 1785-1805. [Online Calculator]
    -- This paper establishes a new "rule of thumb" between the sample mean, median and mid-range. It has received 9 citations in ISI Web of Science by 12/12/2018 (as well as 25 citations in Google Scholar) and has been recognized as a highly cited paper. It is also worth noting that the paper was recognized as a "great manuscript" by the referees, with typical comments as follows: "From practical evidence-based medicine perspective, the optimal estimation of sample mean with analytical form of weight given, can be readily applied in everyday data analysis process, e.g. random effect meta-analysis."

  2. Wenlin Dai, Tiejun Tong and Lixing Zhu (2017). On the choice of difference sequence in a unified framework for variance estimation in nonparametric regression. Statistical Science, 32: 455-468.
    -- As quoted from the abstract of the paper, the main contributions of this paper are as follows: "The unified framework has greatly enriched the existing literature on variance estimation that includes most existing estimators as special cases. More importantly, the unified framework has also provided a smart way to solve the challenging difference sequence selection problem that remains a long-standing controversial issue in nonparametric regression for several decades.". The paper is expected to become a classic paper in the literature of difference-based methods in nonparametric regression.

  3. Xiang Wan, Wenqian Wang, Jiming Liu and Tiejun Tong (2014). Estimating the sample mean and standard deviation from the sample size, median, range and/or interquartile range. BMC Medical Research Methodology, 14: 135. [Online Calculator]
    -- This paper establishes an improved "rule of thumb" between the sample range and the sample standard deviation. The paper has been recognized as a highly cited paper (and also a hot paper in 2016) in ISI Web of Science with a total of 390 citations, including 5 citations in 2015, 55 citations in 2016, 134 citations in 2017, and 196 citations in 2018 by 12/12/2018. The paper has also received many thank-you letters from all over the world. In addition to show their appreciation, they also claimed that our paper will be very helpful and important to improve patient lives, and will influence decision making in medical practice.

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