個人簡介
國際統計學會(ISI) Elected member、國際數理統計學會（IMS）會員、中國現場統計協會資源與環境統計分會理事
教育經曆
2009.9—2014.6 上海财經大學 統計與管理學院 統計學博士
2012.9—2014.5 耶魯大學 公共衛生學院 生物統計系研究生研究員
2005.9—2009.6 南京審計學院 數學與應用數學系 學士
研究方向
組學遺傳學統計建模、高維大數據統計計算、生存分析
科研項目
國家自然科學青年基金“高維單調轉移模型的變量選擇及其在違約風險評估中的應用” （編号：71501089），2016-2018年，項目負責人。
個人主頁：
https://xingjieshi.github.io/
發表文章
1. Shi X., Chai X., Yang Y., Cheng Q., Jiao Y., Chen H, Huang J., Yang C, Liu J. (2020) A tissue-specific collaborative mixed model for jointly analyzing multiple tissues in transcriptome-wide association studies. Nucleic Acids Research. 48(19): e109. [SCI, Impact Factor: 11.5]
2. Cheng Q, Yang Y, Shi X, Yeung K., Yang C., Peng H., Liu J. (2020) MR-LDP: a two-sample Mendelian randomization for GWAS summary statistics accounting for linkage disequilibrium and horizontal pleiotropy. NAR Genomics and Bioinformatics
3. Shi X., Ma S., Huang Y. (2020). Promoting Sign Consistency in the Cox Proportional Hazards CureModel Selection. Statistical Methods in Medical Research, 29(1): 15-28 [SCI]
4. Yang Y, Shi X, Jiao Y., Huang J., Chen M., Zhou X., Sun L., Lin X., Yang C., Liu J. (2020) CoMM-S2: a collaborative mixed model using summary statistics in transcriptome-wide association studies. Bioinformatics, 36(7): 2009-16[SCI]
5. Liao X., Chai X.,Shi X., Chen L., Liu J.(2020) The statistical practice of the GTEx Project: from single to multiple tissues. Quantitative Biology . [SCI]
6. 史興傑，王賽旎，李揚. (2020). 高維數據的穩健二分類方法. 統計研究，37(9): 95-105
7. Shi X., Yang Y., Jiao Y., Cheng C, Yang C., Lin X., Liu J. (2019). VIMCO: variational inference for multiple correlated outcomes in genome-wide association studies. Bioinformatics, 35(19): 3693-3700. [SCI]
8. Wang S., Shi X., Wu M., Ma S. (2019) Horizontal and vertical integrative analysis methods for mental disorders omics data. Scientific Report, 9(1): 13430 [SCI]
9. 孫怡凡，吳夢雲，史興傑. (2019).高維大數據基因網絡中的社區發現——以NC方法為例. 統計研究, 36(3): 124-128.
10. Shi X., Huang Y., Huang J., Ma S. (2018). A forward and backward stagewise algorithm for nonconvex loss functions and adaptive lasso. Computational Statistics and Data Analysis, 124, 235-251.
11. Chai H*., Shi X.*, Zhang Q, Zhao Q, Huang Y, Ma S. (2017). Analysis of cancer gene expression data with an assisted robust marker identification approach.Genetic Epidemiology, 41: 779– 789. [SCI]
12. Liu J., Yang C., Shi X., Li C., Huang J., Zhao H., Ma S. (2016). Analyzing Association Mapping in Pedigree‐Based GWAS Using a Penalized Multitrait Mixed Model. Genetic Epidemiology,40(5): 382-393. [SCI]
13. Jiang Y.*, Shi X.*, Zhao Q., Krauthammer M., Rothberg BE., Ma S.(2016). Integrated analysis ofmultidimensional omics data on cutaneous melanoma prognosis. Genomics, 107(6): 223-30.
14. Shi X., Zhao Q., Huang J., Xie Y., Ma S. (2015). Deciphering the association between gene expression and copy number alteration using a sparse double Laplacian shrinkage approach. Bioinformatics, 31(24): 3977-3983. [SCI]
15. Shi X.*, Yi H*, Ma S. (2015). Measures for the degree of overlap of gene signatures and applications to TCGA. Briefings in Bioinformatics, 16(5): 735-744. [SCI]
16. Wu C., Shi X., Cui Y., Ma S. (2015). A penalized robust semiparametric approach for gene–environment interactions. Statistics in Medicine, 34(30): 4016-30. [SCI]
17. Zhao Q.*, Shi X.*, Xie Y., Huang J., Shia B., Ma S. (2015). Combining Multidimensional Genomic Measurements for Predicting Cancer Prognosis: Observations from TCGA. Briefing in Bioinformatics, 16(2): 291-303.[SCI]
18.Zhao Q., Shi X., Huang J., Liu J., Li Y., Ma S. (2015). Integrative analysis of "-omics" data using penalty functions.WIREs Computational Statistics, 7(1): 99-108.
19. Shi X., Liu J., Huang J., Zhou Y., Shia B., Ma S. (2014). Integrative Analysis of Cancer Prognosis Data with Contrasted Group Bridge Penalization. Genetic Epidemiology, 38(2): 141-151. [SCI]
20. Shi X., Liu J., Huang J., Zhou Y., Xie Y., Ma S. (2014). A Penalized Robust Method for Identifying Gene-Environment Interactions.Genetic Epidemiology, 38(3): 220-230. [SCI]
21. Shi X., Shen S., Liu J., Huang J., Zhou Y., Ma S.(2014). Similarity of Markers Identified from Cancer Gene Expression Studies: Observations from GEO. Briefing in Bioinformatics, 15(5): 671-684.[SCI]
22. 史興傑，周勇. (2014).房地産泡沫檢驗的Switching AR模型. 系統工程理論與實踐, 34(3): 676-682 .
23. 劉玉濤，史興傑，周勇. (2013).左截斷右删失數據下光滑分布函數估計效率. 數學學報, 56(5): 625-636.
