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成青，女，西南财经大学统计学院讲师。
人物简历
上海财经大学博士，新加坡国立大学Duke-NUS Medical School博士后，香港大学访问学者。
研究方向:
Empirical Bayes; variational inference and Bayesian variable selection; Interaction Detection; Feature screening in Ultrahigh Dimensional Data ; Functional data Analysis; Machine Learning.
学术成果
Qing Cheng, Yi Yang, Xingjie Shi, Kar-Fu Yeung, Can Yang, Heng Peng, Jin Liu. “MR-LDP: a two-sample Mendelian randomization for GWAS summary statistics accounting linkage disequilibrium and horizontal pleiotropy.”NAR Genomics and Bioinformatics. 2020;2(2);1-13. (doi:10.1093/nargab/lqaa028).
Fei Jiang,Qing Cheng(co-first), Guosheng Yin, Haipeng Shen. “Functional Censored Quantile Regression.”Journal of the American Statistical Association.2020; 115(530);931-944. (doi:10.1080/01621459.2019.1602047).
Qing Cheng, Liping Zhu . “On relative efficiency of principal Hessian directions.”Statistics and Probability Letters. 2017;126;108-113. (doi:10.1016/ j.spl.2017.02.030).
Kai Xu, Yan Tian,Qing Cheng. “Testing Regression Coefficients in High-Dimensional and Sparse Settings”.Acta Mathematica Sinica, English Series.2021. 37, 1513-1532. (doi: 10.1007/s10114-021-9468-8 )
Xingjie, Shi, Xiaoran Chai, Ying Yang,Qing Cheng,..., “A tissue-specific collaborative mixed model for jointly analyzing multiple tissues in transcriptome-wide association studies.”Nucleic Acids Research.2020. 48(19), 109-109.
Kai, Xu, Zhiling Shen, Xudong Huang,Qing Cheng.“Projection correlation between scalar and vector variables and its use in feature screening with multi-response data.”Journal of Statistical Computation and Simulation.2020;90(11); 1923-1942. (doi:10.1080/00949655.2020.1753057).
Joe P Yeong ,...,Qing Cheng,....“ Multiplex immunohistochemistry/immunofluorescence(mIHC/IF) for PD-L1 testing in triple negative breast cancer: a translational assay compares to conventional IHC.”Journal of Clinical Pathology.2020;73(9);557-562.(doi:10.1136/jclinpath- 2019-206252).[1]