师资队伍


李正帮
华中师范大学,数学与统计学学院,副教授  
 


受教育经历
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  


研究工作经历
2011/11 — 2013/10,美国宾西法利亚大学(University of Pennsylvania), 生物统计系,博士后
 

 

研究方向:  数理统计,应用统计,大数据分析,统计遗传等

主持科研项目:

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.


完成科研论文:

[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.


 

联系方式:  

lizhengbang@mail.ccnu.edu.cn
 

                     
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