Selected statistical papers
(* denotes students under my supervision)
2024
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Jiajin Wei*, Ping He and Tiejun Tong (2024)
Estimating the reciprocal of a binomial proportion
International Statistical Review, 92: 1-16.
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Yuejin Zhou, Wenwu Wang, Tao Hu, Tiejun Tong and Zhonghua Liu (2024)
Causal mediation analysis for an ordinal outcome with multiple mediators
Structural Equation Modeling: A Multidisciplinary Journal, 31: 205-216.
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Zongliang Hu*, Tiejun Tong and Marc. G. Genton (2024)
A pairwise Hotelling method for testing high-dimensional mean vectors
Statistica Sinica, 34: 229-256.
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Wenchao Xu, Hongmei Lin, Tiejun Tong and Riquan Zhang (2024)
A new method for estimating Sharpe ratio function via local maximum likelihood
Journal of Applied Statistics, 51: 34-52.
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Zhijian Li, Tiejun Tong and Yuedong Wang (2024)
A difference-based method for testing no effect in nonparametric regression
Computational Statistics, in press.
2023
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Jiandong Shi*, Dehui Luo*, Xiang Wan, Yue Liu, Jiming Liu, Zhaoxiang Bian and Tiejun Tong (2023)
Detecting the skewness of data from the five-number summary and its application in meta-analysis
Statistical Methods in Medical Research, 32: 1338–1360.
[Online Calculator]
-- This paper has been recognized as a Highly Cited Paper in ISI Web of Science, with a total of 12 citations (and 28 citations in Google Scholar) as of April 2024.
In addition, our earlier version in arXiv has also been cited more than 50 times so far.
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Zongliang Hu*, Yiping Yang, Gaorong Li and Tiejun Tong (2023)
Regularized t distribution: definition, properties and applications
Scandinavian Journal of Statistics, 50: 1884-1900.
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Wenwu Wang, Ping Yu, Yuejin Zhou, Tiejun Tong and Zhonghua Liu (2023)
Equivalence of two least-squares estimators for indirect effects
Current Psychology, 42: 7364–7375.
2022
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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.
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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.
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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.
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Wenwu Wang, Jun Lu, Tiejun Tong and Zhonghua Liu (2022)
Debiased learning and forecasting of first derivative
Knowledge-Based Systems, 236: 107781. [IF=8.8]
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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.
2021
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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=21.1]
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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=9.8]
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Sanying Feng, Gaorong Li, Heng Peng and Tiejun Tong (2021)
Varying coefficient panel data model with interactive fixed effects
Statistica Sinica, 31: 935-957.
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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.
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Zongliang Hu*, Yan Zhou and Tiejun Tong (2021)
Meta-analyzing multiple omics data with robust variable selection
Frontiers in Genetics, 12: 656826.
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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.
2020
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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=9.8]
[Online Calculator]
-- 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 Highly Cited Paper (and a Hot Paper in 2022) in ISI Web of Science, with a total of 200 citations (and 250+ citations in Google Scholar) as of February 2024. 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.
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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.
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Fengyang He, Huixia Judy Wang and Tiejun Tong (2020)
Extremal linear quantile regression with Weibull-type tails
Statistica Sinica, 30: 1357-1377.
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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=7.7]
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Shuwei Li, Tao Hu, Tiejun Tong and Jianguo Sun (2020)
Semi-parametric regression analysis of multivariate doubly-censored data
Statistical Modelling, 20: 502-526.
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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.
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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.
2019
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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.
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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.
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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.
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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.
2018
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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]
-- 中国热点论文榜 【科学观察, 18(6): 1-12, 2023】
-- 中国热点论文榜 【科学观察, 17(6): 1-12, 2022】
-- 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 1500 citations (and 1900+ citations in Google Scholar) as of March 2024.
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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]
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Yuejin Zhou, Yebin Cheng, Wenlin Dai* and Tiejun Tong (2018)
Optimal difference-based estimation for partially linear models
Computational Statistics, 33: 863-885.
2017
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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.
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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.
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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.
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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.
2016
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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.
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Kai Dong*, Hongyu Zhao, Tiejun Tong and Xiang Wan (2016)
NBLDA: Negative binomial linear discriminant analysis for RNA-Seq data
BMC Bioinformatics, 17: 369.
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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.
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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.
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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.
2015
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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]
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Yuejin Zhou, Yebin Cheng, Lie Wang and Tiejun Tong (2015)
Optimal difference-based variance estimation in heteroscedastic nonparametric regression
Statistica Sinica, 25: 1377-1397.
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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.
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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.
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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.
2014
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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]
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-- 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 5200 citations (and 6700+ citations in Google Scholar) as of April 2024.
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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.
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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.
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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.
2013
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Tiejun Tong, Yanyuan Ma and Yuedong Wang (2013)
Optimal variance estimation without estimating the mean function
Bernoulli, 19: 1839-1854.
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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.
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Gaorong Li, Heng Peng and Tiejun Tong (2013)
Simultaneous confidence bands for nonparametric fixed effects panel data models
Economics Letters, 119: 229-232.
2012
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Tiejun Tong, Liang Chen and Hongyu Zhao (2012)
Improved mean estimation and its application to diagonal discriminant analysis
Bioinformatics, 28: 531-537.
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Tiejun Tong, Homin Jang and Yuedong Wang (2012)
James-Stein type estimators of variances
Journal of Multivariate Analysis, 107: 232-243.
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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.
2011
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Liqian Peng* and Tiejun Tong (2011)
A note on two-sample t test with one variance unknown
Statistical Methodology, 8: 528-534.
2010
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Song Huang, Tiejun Tong and Hongyu Zhao (2010)
Bias-corrected diagonal discriminant rules for high-dimensional classification
Biometrics, 66: 1096-1106.
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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.
2009
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Herbert Pang, Tiejun Tong and Hongyu Zhao (2009)
Shrinkage-based diagonal discriminant analysis and its applications in high-dimensional data
Biometrics, 65: 1021-1029.
2008
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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]
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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.
2007
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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.
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Anna Liu, Tiejun Tong and Yuedong Wang (2007)
Smoothing spline estimation of variance function
Journal of Computational and Graphical Statistics, 16: 312-329.
2005
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Tiejun Tong and Yuedong Wang (2005)
Estimating residual variance in nonparametric regression using least squares
Biometrika, 92: 821-830.
2004
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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.