Selected statistical papers (* denotes students under my supervision)


    2022

  1. Zongliang Hu*, Tiejun Tong and Marc. G. Genton (2022)
    A pairwise Hotelling method for testing high-dimensional mean vectors
    Statistica Sinica, in press.

  2. Sanying Feng, Menghan Zhang and Tiejun Tong (2022)
    Variable selection for functional linear models with strong heredity constraint
    Annals of the Institute of Statistical Mathematics, 74: 321–339.

  3. Yan Zhou, Minjiao Peng, Bin Yang, Tiejun Tong, Baoxue Zhang and Niansheng Tang (2022)
    scDLC: a deep learning framework to classify large sample single-cell RNA-seq data
    BMC Genomics, 23: 504.

  4. Yanyan Ouyang, Jiamin Liu, Tiejun Tong and Wangli Xu (2022)
    A rank-based high-dimensional test for equality of mean vectors
    Computational Statistics and Data Analysis, 173: 107495.

  5. Hongmei Lin, Tiejun Tong, Yuedong Wang, Wenchao Xu and Riquan Zhang (2022)
    Direct local linear estimation for Sharpe ratio function
    Canadian Journal of Statistics, 50: 36-58.

  6. Wenwu Wang, Jun Lu, Tiejun Tong and Zhonghua Liu (2022)
    Debiased learning and forecasting of first derivative
    Knowledge-Based Systems, 236: 107781.   [IF=8.139]


  7. 2021

  8. Jiajin Wei*, Enxuan Lin*, Jiandong Shi*, Ke Yang*, Zongliang Hu*, Xian-Tao Zeng and Tiejun Tong (2021)
    Meta-analysis with zero-event studies: a comparative study with application to COVID-19 data
    Military Medical Research, 8: 41.   [IF=34.915]

  9. Wenhao Cao, Lianne Siegel, Jincheng Zhou, Motao Zhu, Tiejun Tong, Yong Chen and Haitao Chu (2021)
    Estimating the reference interval from a fixed effects meta-analysis
    Research Synthesis Methods, 12: 630-640.   [IF=9.308]

  10. Sanying Feng, Gaorong Li, Heng Peng and Tiejun Tong (2021)
    Varying coefficient panel data model with interactive fixed effects
    Statistica Sinica, 31: 935-957.

  11. Zongliang Hu*, Zhishui Hu, Kai Dong*, Tiejun Tong and Yuedong Wang (2021)
    A shrinkage approach to joint estimation of multiple covariance matrices
    Metrika, 84: 339-374.

  12. Zongliang Hu*, Yan Zhou and Tiejun Tong (2021)
    Meta-analyzing multiple omics data with robust variable selection
    Frontiers in Genetics, 12: 656826.

  13. Wenwu Wang, Wei Shen* and Tiejun Tong (2021)
    Robust estimation of nonparametric function via addition sequence
    Journal of Statistical Planning and Inference, 211: 423-438.


  14. 2020

  15. Jiandong Shi*, Dehui Luo*, Hong Weng, Xian-Tao Zeng, Lu Lin, Haitao Chu and Tiejun Tong (2020)
    Optimally estimating the sample standard deviation from the five-number summary
    Research Synthesis Methods, 11: 641-654.   [IF=9.308]

    -- 基于中位数的荟萃分析新发展  【科学观察, 16(6): 82-84, 2021, 中国数学研究热点论文特约稿】

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    -- This paper has been recognized as a Hot Paper in ISI Web of Science in 2022, with a total of 67 citations (and 100 citations in Google Scholar) as of July 2022. This paper has also been recognized as a Top Cited Paper in Research Synthesis Methods among all the papers published between 1 January 2020 and 31 December 2021.


  16. Hong Zhang, Tiejun Tong, John Landers and Zheyang Wu (2020)
    TFisher: A powerful truncation and weighting procedure for combining p-values
    Annals of Applied Statistics, 14: 178-201.

  17. Fengyang He, Huixia Judy Wang and Tiejun Tong (2020)
    Extremal linear quantile regression with Weibull-type tails
    Statistica Sinica, 30: 1357-1377.

  18. Hailun Wang, Pak Sham, Tiejun Tong and Herbert Pang (2020)
    Pathway-based single-cell RNA-Seq classification and construction of co-occurrence network using random forests
    IEEE Journal of Biomedical and Health Informatics, 24: 1814-1822.   [IF=7.021]

  19. Shuwei Li, Tao Hu, Tiejun Tong and Jianguo Sun (2020)
    Semi-parametric regression analysis of multivariate doubly-censored data
    Statistical Modelling, 20: 502-526.

  20. Ke Yang*, Hiu-Yee Kwan, Zhiling Yu and Tiejun Tong (2020)
    Model selection between the fixed-effects model and the random-effects model in meta-analysis
    Statistics and Its Interface (Special Issue on Meta-Analysis), 13: 501-510.

  21. Jiandong Shi*, Tiejun Tong, Yuedong Wang and Marc G. Genton (2020)
    Estimating the mean and variance from the five-number summary of a log-normal distribution
    Statistics and Its Interface (Special Issue on Meta-Analysis), 13: 519-531.


  22. 2019

  23. Wenwu Wang, Ping Yu, Lu Lin and Tiejun Tong (2019)
    Robust estimation of derivatives using locally weighted least absolute deviation regression
    Journal of Machine Learning Research, 20(60): 1−49.

  24. Zongliang Hu*, Tiejun Tong and Marc G. Genton (2019)
    Diagonal likelihood ratio test for equality of mean vectors in high-dimensional data
    Biometrics, 75: 256-267.

  25. Yiping Yang, Tiejun Tong and Gaorong Li (2019)
    SIMEX estimation for single-index model with covariate measurement error
    AStA Advances in Statistical Analysis, 103: 137-161.

    -- This paper has been recognized as a Highly Cited Paper in ISI Web of Science since 2020.


  26. Yan Zhou, Jiadi Zhu, Tiejun Tong, Junhui Wang, Bingqing Lin and Jun Zhang (2019)
    A statistical normalization method and differential expression analysis for RNA-seq data between different species
    BMC Bioinformatics, 20: 163.


  27. 2018

  28. 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.

    -- 童铁军团队"样本均值优化算法"一文引用内容分析  【科学观察, 16(6): 90-98, 2021】

    -- 如何实现从样本量、中位数、极值或四分位数到均数与标准差的转换  【中国循证医学杂志, 17: 1350-1356, 2017】

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    -- This paper establishes a new "rule of thumb" between the sample mean, median and mid-range. The paper has been recognized as a Highly Cited Paper (and a Hot Paper in 2019-2020) in ISI Web of Science, with a total of 700 citations (and 900+ citations in Google Scholar) as of July 2022. Among the studies that apply our method for meta-analysis, the largest 3 categories include Surgery (86 papers), Medical General Internal (75 papers), and Cardiac Cardiovascular Systems (47 papers).


  29. Yan Zhou, Xiang Wan, Baoxue Zhang and Tiejun Tong (2018)
    Classifying next-generation sequencing data using a zero-inflated Poisson model
    Bioinformatics, 34: 1329-1335.   [R package for ZIPLDA]

  30. Yuejin Zhou, Yebin Cheng, Wenlin Dai* and Tiejun Tong (2018)
    Optimal difference-based estimation for partially linear models
    Computational Statistics, 33: 863-885.


  31. 2017

  32. 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.

  33.    
    -- 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."


  34. Zongliang Hu*, Kai Dong*, Wenlin Dai* and Tiejun Tong (2017)
    A comparison of methods for estimating the determinant of high-dimensional covariance matrix
    International Journal of Biostatistics, 13: 20170013.

  35. Yan Zhou, Baoxue Zhang, Gaorong Li, Tiejun Tong and Xiang Wan (2017)
    GD-RDA: A new regularized discriminant analysis for high dimensional data
    Journal of Computational Biology, 24: 1099-1111.

  36. Yujie Li, Gaorong Li, Heng Lian and Tiejun Tong (2017)
    Profile forward regression screening for ultra-high dimensional semiparametric varying coefficient partially linear models
    Journal of Multivariate Analysis, 155: 133-150.


  37. 2016

  38. Wenlin Dai*, Tiejun Tong and Marc G. Genton (2016)
    Optimal estimation of derivatives in nonparametric regression
    Journal of Machine Learning Research, 17(164): 1-25.

  39. Kai Dong*, Hongyu Zhao, Tiejun Tong and Xiang Wan (2016)
    NBLDA: Negative binomial linear discriminant analysis for RNA-Seq data
    BMC Bioinformatics, 17: 369.

  40. Jiacheng Yuan, Herbert Pang, Tiejun Tong, Dong Xia, Wenzhao Guo and Peter Mesenbrink (2016)
    Seamless phase IIa/IIb and enhanced dose finding adaptive design
    Journal of Biopharmaceutical Statistics, 26: 912-923.

  41. Kai Dong*, Herbert Pang, Tiejun Tong and Marc G. Genton (2016)
    Shrinkage-based diagonal Hotelling tests for high-dimensional small sample size data
    Journal of Multivariate Analysis, 143: 127-142.

  42. Fengyang He, Yebin Cheng and Tiejun Tong (2016)
    Estimation of high conditional quantiles using the Hill estimator of the tail index
    Journal of Statistical Planning and Inference, 176: 64-77.


  43. 2015

  44. Yebin Cheng, Dexiang Gao and Tiejun Tong (2015)
    Bias and variance reduction in estimating the proportion of true null hypotheses
    Biostatistics, 16: 189-204.   [R codes]

  45. Yuejin Zhou, Yebin Cheng, Lie Wang and Tiejun Tong (2015)
    Optimal difference-based variance estimation in heteroscedastic nonparametric regression
    Statistica Sinica, 25: 1377-1397.

  46. Cheng Wang, Guangming Pan, Tiejun Tong and Lixing Zhu (2015)
    Shrinkage estimation of large dimensional precision matrix using random matrix theory
    Statistica Sinica, 25: 993-1008.

  47. Yiping Yang, Gaorong Li and Tiejun Tong (2015)
    Corrected empirical likelihood for a class of generalized linear measurement error models
    Science China Mathematics, 58: 1523-1536.

  48. Wenlin Dai*, Yanyuan Ma, Tiejun Tong and Lixing Zhu (2015)
    Difference-based variance estimation in nonparametric regression with repeated measurement data
    Journal of Statistical Planning and Inference, 163: 1-20.


  49. 2014

  50. 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]     [Excel Worksheet]




    -- 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 a Hot Paper in 2016) in ISI Web of Science, with a total of 3100 citations (and 3900+ citations in Google Scholar) as of July 2022. Among the studies that apply our method for meta-analysis, the largest 3 categories include Surgery (428 papers), Medical General Internal (340 papers), and Cardiac Cardiovascular Systems (216 papers).


  51. Gaorong Li, Heng Peng, Kai Dong* and Tiejun Tong (2014)
    Simultaneous confidence bands and hypothesis testing for single-index models
    Statistica Sinica, 24: 937-955.

  52. Cheng Wang, Tiejun Tong, Longbing Cao and Baiqi Miao (2014)
    Nonparametric shrinkage mean estimation for quadratic loss functions with unknown covariance matrices
    Journal of Multivariate Analysis, 125: 222-232.

  53. Tiejun Tong, Cheng Wang and Yuedong Wang (2014)
    Estimation of variances and covariances for high-dimensional data: a selective review
    Wiley Interdisciplinary Reviews: Computational Statistics, 6: 255-264.


  54. 2013

  55. Tiejun Tong, Yanyuan Ma and Yuedong Wang (2013)
    Optimal variance estimation without estimating the mean function
    Bernoulli, 19: 1839-1854.

  56. Herbert Pang, Tiejun Tong and Michael K. Ng (2013)
    Block-diagonal discriminant analysis and its bias-corrected rules
    Statistical Applications in Genetics and Molecular Biology, 12: 347-359.

  57. Gaorong Li, Heng Peng and Tiejun Tong (2013)
    Simultaneous confidence bands for nonparametric fixed effects panel data models
    Economics Letters, 119: 229-232.


  58. 2012

  59. Tiejun Tong, Liang Chen and Hongyu Zhao (2012)
    Improved mean estimation and its application to diagonal discriminant analysis
    Bioinformatics, 28: 531-537.

  60. Tiejun Tong, Homin Jang and Yuedong Wang (2012)
    James-Stein type estimators of variances
    Journal of Multivariate Analysis, 107: 232-243.

  61. Herbert Pang, Stephen George, Ken Hui and Tiejun Tong (2012)
    Gene selection using iterative feature elimination random survival forests
    IEEE/ACM Transactions on Computational Biology and Bioinformatics, 9, 1422-1431.


  62. 2011

  63. Liqian Peng* and Tiejun Tong (2011)
    A note on two-sample t test with one variance unknown
    Statistical Methodology, 8: 528-534.


  64. 2010

  65. Song Huang, Tiejun Tong and Hongyu Zhao (2010)
    Bias-corrected diagonal discriminant rules for high-dimensional classification
    Biometrics, 66: 1096-1106.

  66. Nairanjana Dasgupta, Eleanne Solorzano and Tiejun Tong (2010)
    Comparing multiple treatments to both positive and negative controls
    Journal of Statistical Planning and Inference, 140: 180-188.


  67. 2009

  68. Herbert Pang, Tiejun Tong and Hongyu Zhao (2009)
    Shrinkage-based diagonal discriminant analysis and its applications in high-dimensional data
    Biometrics, 65: 1021-1029.


  69. 2008

  70. Tiejun Tong and Hongyu Zhao (2008)
    Practical guidelines for assessing power and false discovery rate for a fixed sample size in microarray experiments
    Statistics in Medicine, 27: 1960-1972.   [R codes]

  71. Liang Chen, Tiejun Tong and Hongyu Zhao (2008)
    Considering dependence among genes and markers for false discovery control in eQTL mapping
    Bioinformatics, 24: 2015-2022.


  72. 2007

  73. Tiejun Tong and Yuedong Wang (2007)
    Optimal shrinkage estimation of variances with applications to microarray data analysis
    Journal of the American Statistical Association, 102: 113-122.

  74. Anna Liu, Tiejun Tong and Yuedong Wang (2007)
    Smoothing spline estimation of variance function
    Journal of Computational and Graphical Statistics, 16: 312-329.


  75. 2005

  76. Tiejun Tong and Yuedong Wang (2005)
    Estimating residual variance in nonparametric regression using least squares
    Biometrika, 92: 821-830.


  77. 2004

  78. Chun Su and Tiejun Tong (2004)
    Almost sure convergence of the general Jamison weighted B-valued random variables
    Acta Mathematica Sinica, English Series, 20: 181-192.


    Selected collaborative papers


  1. Wenwu Wang, Ping Yu, Yuejin Zhou, Tiejun Tong and Zhonghua Liu (2022)
    Equivalence of two least-squares estimators for indirect effects
    Current Psychology, in press.

  2. Wanjun Ning*, Zimu Xu, Jingjin Wu and Tiejun Tong (2022)
    Sequence Q-learning algorithm for optimal mobility-aware user association
    The 2022 IEEE International Conference on Communications (IEEE ICC 2022), 16-20 May 2022, Seoul, South Korea.

  3. Hongwei Zhang, Kammy Ngan Kam Yeung, Michael Chi Fai Tong, Zhixiu Lin, Wai Tsz Chang Chang, Hoi Yee Ng, Chi Him Sum, Ka Chun Leung, Kam Leung Chan, Kit Ngan and Tiejun Tong (2022)
    A Chinese medicine formula (Bushen Huoxue Tongluo) for the treatment of chronic subjective tinnitus: a study protocol for a pilot, assessor-blinded, randomized clinical trial
    Frontiers in Pharmacology, 13: 844730.

  4. Yanfei Liu, Hui Huang, Yiwen Li, Jing Cui, Tiejun Tong, Hongjun Yang and Yue Liu (2022)
    Development of a method for quantitative evaluation of facial swelling in a rat model of cerebral ischemia by facial image processing
    Frontiers in Medicine, 9: 737662.

  5. Yaping Wang, Bin Liu, Xiuqiong Fu, Tiejun Tong and Zhiling Yu (2021)
    Efficacy and safety of Si-Jun-Zi-Tang-based therapies for functional (non-ulcer) dyspepsia: a meta-analysis of randomized controlled trials
    BMC Complementary Medicine and Therapies, 21: 11.

  6. Yanfei Liu, Yingke Zhao, Jinfan Tian, Tiejun Tong, Rui Gao and Yue Liu (2019)
    The association of depression following percutaneous coronary intervention with adverse cardiovascular events: protocol for systematic review and meta-analysis
    Medicine, 98(2): e13952.

  7. Yingke Zhao, Branda Yee-Man Yu, Yanfei Liu, Tiejun Tong and Yue Liu (2018)
    Weight reduction and cardiovascular benefits: Protocol for a systematic review and meta-analysis
    Medicine, 97(50): e13246.

  8. Yong Yuan, Tiejun Tong, Xiaoxi Zeng, Yushang Yang, Ziqiang Wang, Yuncang Wang, Junhe Gou and Longqi Chen (2017)
    Longitudinal study of esophageal mucosal damage after esophagectomy and gastric interposition: relationship between reflux-related mucosal injury and Notch signaling
    Journal of Thoracic Disease, 9: 5249-5260.

  9. Yingyang Liao, Jianhong Zhong, Ningfu Peng, Lequn Li and Tiejun Tong (2016)
    Is radioembolization or sorafenib the best option for patients with hepatocellular carcinoma and portal vein invasion?
    Liver International, 36: 1715.

  10. Aimin Wu, Tiejun Tong and Xiangyang Wang (2016)
    A rethink of fusion surgery for lumbar spinal stenosis
    Journal of Evidence-Based Medicine, 9: 166-169.

  11. Hiu-Yee Kwan, Xuyan Niu, Wenlin Dai*, Tiejun Tong, Xiaojuan Chao, Tao Su, Chi-Leung Chan, Kim-Chung Lee, Xiuqiong Fu, Hua Yi, Hua Yu, Ting Li, Kai-Wing Tse, Wang-Fun Fong, Si-Yuan Pan, Aiping Lu, Zhi-Ling Yu (2015)
    Lipidomic-based investigation into the regulatory effect of Schisandrin B on palmitic acid level in non-alcoholic steatotic livers
    Scientific Reports, 5: 9114.

  12. Xiang Wan, Jiming Liu, William Cheung and Tiejun Tong (2014)
    Inferring epidemic network topology from surveillance data
    PLOS ONE, 9: e100661.

  13. Xiang Wan, Jiming Liu, William Cheung and Tiejun Tong (2014)
    Learning to improve medical decision making for imbalanced data without using a priori cost
    BMC Medical Informatics and Decision Making, 14: 111.

  14. Jiacheng Yuan, Tiejun Tong and Man-Lai Tang (2013)
    Sample size calculation for bioequivalence studies assessing drug effect and food effect at the same time with a three-treatment Williams design
    Therapeutic Innovation and Regulatory Science, 47: 242-247.

  15. Jiacheng Yuan, Tiejun Tong and Tie-Hua Ng (2011)
    Conditional type I error rate for superiority test conditioned on establishment of noninferiority in clinical trials
    Drug Information Journal, 45: 331-336.

  16. Hyunmin Kim, Jihye Kim, Heather Selby, Dexiang Gao, Tiejun Tong, Tzu Lip Phang and Aik Choon Tan (2011)
    A short survey of computational analysis methods in analysing ChIP-seq data
    Human Genomics, 5: 117-123.

  17. Dexiang Gao, Jihye Kim, Hyunmin Kim, Tzu Phang, Heather Selby, AikChoon Tan and Tiejun Tong (2010)
    A survey of statistical software for analysing RNA-seq data
    Human Genomics, 5: 56-60.

  18. Herbert Pang, Keita Ebisu, Emi Watanabe, Laura Sue and Tiejun Tong (2010)
    Analyzing breast cancer microarrays of African Americans using shrinkage-based discriminant analysis
    Human Genomics, 5: 5-16.


    The B5 Club


    Lastly, just for fun, there are 5 prestigious journals in statistics and related areas starting with the B letter including Bernoulli, Bioinformatics, Biometrics, Biometrika and Biostatistics. I now name it as "The B5 Club". To the best of my knowledge, there are currently less than 5 researchers in the world eligible to join the club. Should you be interested or will soon be eligible, please drop me a message and I will then warmly invite you to visit Hong Kong, issue you a VIP Club Card, and treat you a luxurious seafood dinner in Sai Kung.