李正帮 - 华中师范大学 - 数学与统计学学院

个人简介

教育经历 2008/09 — 2011/06，武汉大学，数学与统计学院，博士 2003/09 — 2006/06，武汉大学,数学与统计学院，硕士 1999/09 — 2003/06，华中师范大学,数学与统计学学院，学士 2011/11 — 2013/10，美国宾西法利亚大学(University of Pennsylvania)，生物统计系，博士后研究项目 1. 国家自然科学基金(11401240): 关于基因与基因（环境）交互作用推断问题的若干统计方法研究（主持）. 2015/01-2017/12.

研究领域

大数据分析,统计遗传等

近期论文

查看导师最新文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

[1]Li Qizhai, Li Zhengbang, Zheng Gang, Gao Guimin, Yu Ka. Rank-based robust tests for quantitative trait genetic sssociation studies. Genetic Epidemiology, 37(4), 358-365, 2013. [2]Li Zhengbang, Cao Fan, Zhang Junjian, Li Qizhai. Summation of absolute value test for multiple outcome comparison with moderate effect. Journal of Systems Science and Complexity, 26(3), 462-469, 2013. [3]Li Zhengbang*, Li Qizhai, Han CP, Li Bo. A hybrid approach for regression analysis with block missing Data. Computational Statistics and Data Analysis, 75, 239-247, 2014. [4]Li Zhengbang, Li Qizhai, Liu Aiyi, Li Zhaohai. Rank-based tests for comparison of multiple endpoints among several populations. Statistics and Its Interface, 7(1), 9-18, 2014. [5]Li Zhengbang, Gao Guiming, Yuan Ao, Li Qizhai, Han Gang. Rank-based Tests for Identifying Multiple Genetic Variants Associated with Quantitative traits. Ann Hum Genet, 78(4),306-310, 2014. [6]Pan Dongdong, Li Zhengbang(co-first author), Li Qizhai, Fung WK. A Novel Powerful Joint Analysis with Data Fusion in Two-stage Case-control Genome-wide Association Studies. Communications in Statistics-Simulation and Computation,45(7),2362-2376, 2016. [7]Li Zhengbang, Zhang Wei, Pan Dongdong, Li Qizhai. Power Calculation of Multi-step Combined Principal Components with Applications to Genetic Association Studies. Scientific Reports | 6:26243 | DOI: 10.1038/srep26243. [8] Yang Qing, Zhu jiayan, Li Zhengbang*. Maximin efficiency robust test for multiple nuisance parameters and its statistical properties.Acta Mathematica Scientia(English Series),37 (1) ,223-234,2017. [9]Zhu Jiayan, Zhangwei, Li Qizhai, Li Zhengbang*.Testing Association between Mixed Type Outcomes and Covariates Jointly by the Use of a Latent Variable. Scientific Reports | 7: 8006 | DOI:10.1038/s41598-017-08371-6.