| Estimating the sample mean and standard deviation from the sample size, median, range and/or interquartile range X Wan, W Wang, J Liu, T Tong BMC Medical Research Methodology 14, 135, 2014 | 7181 | 2014 |
| Optimally estimating the sample mean from the sample size, median, mid-range, and/or mid-quartile range D Luo, X Wan, J Liu, T Tong Statistical Methods in Medical Research 27, 1785-1805, 2018 | 2100 | 2018 |
| Optimally estimating the sample standard deviation from the five-number summary J Shi, D Luo, H Weng, XT Zeng, L Lin, H Chu, T Tong Research Synthesis Methods 11, 641-654, 2020 | 300 | 2020 |
| Gene selection using iterative feature elimination random forests for survival outcomes H Pang, SL George, K Hui, T Tong IEEE/ACM Transactions on Computational Biology and Bioinformatics 9, 1422-1431, 2012 | 84 | 2012 |
| Estimating residual variance in nonparametric regression using least squares T Tong, Y Wang Biometrika 92, 821-830, 2005 | 80 | 2005 |
| Optimal shrinkage estimation of variances with applications to microarray data analysis T Tong, Y Wang Journal of the American Statistical Association 102, 113-122, 2007 | 78 | 2007 |
| Shrinkage-based diagonal discriminant analysis and its applications in high-dimensional data H Pang, T Tong, H Zhao Biometrics 65, 1021-1029, 2009 | 74 | 2009 |
| SIMEX estimation for single-index model with covariate measurement error Y Yang, T Tong, G Li AStA Advances in Statistical Analysis 103, 137-161, 2019 | 61 | 2019 |
| Detecting the skewness of data from the sample size and the five-number summary J Shi, D Luo, X Wan, Y Liu, J Liu, Z Bian, T Tong arXiv preprint arXiv:2010.05749, 2020 | 60 | 2020 |
| NBLDA: negative binomial linear discriminant analysis for RNA-Seq data K Dong, H Zhao, T Tong, X Wan BMC Bioinformatics 17, 369, 2016 | 54 | 2016 |
| Practical guidelines for assessing power and false discovery rate for a fixed sample size in microarray experiments T Tong, H Zhao Statistics in Medicine 27, 1960-1972, 2008 | 53 | 2008 |
| Detecting the skewness of data from the five-number summary and its application in meta-analysis J Shi, D Luo, X Wan, Y Liu, J Liu, Z Bian, T Tong Statistical Methods in Medical Research 32, 1338-1360, 2023 | 51 | 2023 |
| Shrinkage estimation of large dimensional precision matrix using random matrix theory C Wang, G Pan, T Tong, L Zhu Statistica Sinica 25, 993-1008, 2015 | 47 | 2015 |
| Optimal estimation of derivatives in nonparametric regression W Dai, T Tong, MG Genton Journal of Machine Learning Research 17 (164), 1-25, 2016 | 42 | 2016 |
| Lipidomic-based investigation into the regulatory effect of Schisandrin B on palmitic acid level in non-alcoholic steatotic livers HY Kwan, X Niu, W Dai, T Tong, X Chao, T Su, CL Chan, KC Lee, X Fu, ... Scientific Reports 5, 9114, 2015 | 42 | 2015 |
| Learning to improve medical decision making from imbalanced data without a priori cost X Wan, J Liu, WK Cheung, T Tong BMC Medical Informatics and Decision Making 14, 111, 2014 | 40 | 2014 |
| A statistical normalization method and differential expression analysis for RNA-seq data between different species Y Zhou, J Zhu, T Tong, J Wang, B Lin, J Zhang BMC Bioinformatics 20, 163, 2019 | 39 | 2019 |
| A survey of statistical software for analysing RNA-seq data D Gao, J Kim, H Kim, TL Phang, H Selby, AC Tan, T Tong Human Genomics 5, 56-60, 2010 | 39 | 2010 |
| How to estimate the sample mean and standard deviation from the sample size, median, extremes or quartiles (in Chinese)? D Luo, X Wan, J Liu, T Tong Chinese Journal of Evidence-Based Medicine 17, 1350-1356, 2017 | 38* | 2017 |
| A short survey of computational analysis methods in analysing ChIP-seq data H Kim, J Kim, H Selby, D Gao, T Tong, TL Phang, AC Tan Human Genomics 5, 117-123, 2011 | 37 | 2011 |
Xiang WanShenzhen Research Institute of Big Data在 sribd.cn 的电子邮件经过验证
