Current Research Interests

High-dimensional data analysis
Meta-analysis and medical statistics
Nonparametric regression models

 

 

Selected Publications

1. Jiajin Wei, Enxuan Lin, Jiandong Shi, Ke Yang, Zongliang Hu, Xiantao 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.
2. Sanying Feng, Gaorong Li, Heng Peng and Tiejun Tong (2021). Varying coefficient panel data model with interactive fixed effects. Statistica Sinica, 31: 935-957.
3. Jiandong Shi, Dehui Luo, Hong Weng, Xiantao 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.
4. 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.
5. 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.
6. 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.
7. 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.
8. 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.
9. 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.
10. Yebin Cheng, Dexiang Gao and Tiejun Tong (2015). Bias and variance reduction in estimating the proportion of true null hypotheses. Biostatistics, 16: 189-204.
11. 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.
12. Tiejun Tong, Yanyuan Ma and Yuedong Wang (2013). Optimal variance estimation without estimating the mean function. Bernoulli, 19: 1839-1854.
13. Tiejun Tong, Liang Chen and Hongyu Zhao (2012). Improved mean estimation and its application to diagonal discriminant analysis. Bioinformatics, 28: 531-537.
14. 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.
15. Tiejun Tong and Yuedong Wang (2005). Estimating residual variance in non-parametric regression using least squares. Biometrika, 92: 821-830.