PICTURE
Jiandong Shi, PhD

Department of Statistics
The Chinese University of Hong Kong

Office: Room 101, Lady Shaw Building
Phone: (852) 6856-2873
Email: jiandongshi(at)cuhk.edu.hk



     Experience

              Postdoctoral Fellow (2024-) supervised by Prof. Xiaodan Fan, Department of Statistics, The Chinese University of Hong Kong

              Postdoctoral Fellow (2022-2024) supervised by Prof. Weichuan Yu, Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology

              PhD in Statistics (2021) supervised by Prof. Tiejun Tong, Department of Mathematics, Hong Kong Baptist University

              MSc in Statistics (2018) supervised by Prof. Lu Lin, Department of Mathematics, Shandong University

              BSc in Statistics (2015), Department of Mathematics, Shandong University


     Research interests

              Statistics: Meta-analysis, Bayesian analysis, Medical statistics, Statistical learning

              Boinformatics: Third generation sequencing data analysis, Structural variant detection

              Evidence-based medicine


     Publications (Google Scholar) * represents co-first authors

               Direct inference of haplotypes from sequencing data
                 Zhen Zhang, Bencong Zhu, Yongyi Luo, Jiandong Shi, Sheng Lian, Jingyu Hao, Taobo Hu, Toyotaka Ishibashi, Depeng Wang, Shu Wang, Weichuan Yu and Xiaodan Fan (2025+).
                 Under review in Briefings in Bioinformatics


               BVSim: a benchmarking variation simulator mimicking human variation spectrum
                 Yongyi Luo, Zhen Zhang, Jiandong Shi, Jingyu Hao, Sheng Lian, Taobo Hu, Toyotaka Ishibashi, Depeng Wang, Shu Wang, Weichuan Yu and Xiaodan Fan (2025+).
                 Invited revision in GigaScience


               Bayesian integrative detection of structural variations with false discovery rate control
                 Sheng Lian, Jiandong Shi, Jingyu Hao, Zhen Zhang, Yongyi Luo, Taobo Hu, Depeng Wang, Xiaodan Fan, Shu Wang and Weichuan Yu (2025+).
                 Under review in BMC Bioinformatics


               gSV: a general structural variant detector using long-read sequencing data
                 Jingyu Hao*, Jiandong Shi*, Sheng Lian, Zhen Zhang, Taobo Hu, Toyotaka Ishibashi, Depeng Wang, Shu Wang, Xiaodan Fan and Weichuan Yu (2025+).
                 Under review in Genome Biology


               Local moment for heterogenous regression and its application to estimation and local change-point detection
                 Lu Lin and Jiandong Shi (2025).
                 Communications in Mathematics and Statistics, in press


               DCES-PA: Deformation-controllable elastic shape model for 3D bone proliferation analysis using hand HR-pQCT images
                 Xuechen Zhang, Isaac Cheng, Yingzhao Jin, Jiandong Shi, Chenrui Li, Jing-Hao Xue, Lai- Shan Tam and Weichuan Yu (2024).
                 Computers in Biology and Medicine, 175: 108533


               Detecting the skewness of data from the five-number summary and its application in meta-analysis
                 Jiandong Shi, Dehui Luo, Xiang Wan, Yue Liu, Jiming Liu, Zhaoxiang Bian and Tiejun Tong (2023).
                 Statistical Methods in Medical Research, 32: 1338–1360
                -- This paper has been recognized as a Highly Cited Paper (and a Hot Paper since July 2024) in ISI Web of Science, with a total of citations 90+ times (and 120+ times in Google Scholar) as of March 2025.
                 [Online Calculator]


               Detection of structural variations and fusion genes in breast cancer samples using third-generation sequencing
                 Taobo Hu, Jingjing Li, Mengping Long, Jinbo Wu, Zhen Zhang, Fei Xie, Jin Zhao, Houpu Yang, Qianqian Song, Sheng Lian, Jiandong Shi, Xueyu Guo, Daoli Yuan, Dandan Lang, Guoliang Yu, Baosheng Liang, Xiaohua Zhou,
                  Toyotaka Ishibashi, Xiaodan Fan, Weichuan Yu, Depeng Wang, Yang Wang, I-Feng Peng, and Shu Wang (2022).
                 Frontiers in Cell and Developmental Biology, 10: 854640


               基于中位数的荟萃分析新发展
                 Jiandong Shi, Dehui Luo, Jiming Liu and Tiejun Tong (2021).
                 科学观察, 16: 82-84


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


               Optimally estimating the sample standard deviation from the five-number summary
                 Jiandong Shi, Dehui Luo, Hong Weng, Xian-Tao Zeng, Lu Lin, Haitao Chu and Tiejun Tong (2020).
                 Research Synthesis Methods, 11: 641-654
                -- 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 300+ citations (and 400+ citations in Google Scholar) as of March 2025.
                -- This paper has been recognized as a top cited paper in Research Synthesis Methods for all papers published between 1 January 2020 and 31 December 2021.
                 [Online Calculator]     [Excel Worksheet]


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



     Patent

              Methods and systems for detecting structural variants
                 Weichuan Yu, Jiandong Shi and Jingyu Hao (2025+).
                 In preparation



     Working papers

               A new definition of standardized mean difference allowing for unequal variances
                 Jiandong Shi, Xiaochen Zhang, Lu Lin, Hiu Yee Kwan and Tiejun Tong.
                 In preparation to Psychological Methods


               A paradox in Metropolis-Hastings practice
                 Jiandong Shi, Jiandong Shi, Sheng Lian and Xiaodan Fan.
                 In preparation to Bayesian Analysis


               Semiparametric efficient estimators for random-effects meta-analysis
                  Jiajin Wei, Jiandong Shi, Yanyuan Ma and Tiejun Tong.
                 In preparation to Journal of the American Statistical Association


               A new paradox in random-effects meta-analysis
                  Jiandong Shi, Aimin Wu and Tiejun Tong.


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