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刘耀午

 

刘耀午  讲师

邮箱:liuyw@swufe.edu.cn

          yaowuliu615@gmail.com


个人经历

2019年10月至今               西南财经大学统计学院              讲师

2017年08月-2019年10月        哈佛大学                          博士后    

2017年08月                   普渡大学统计学                    博士            

2014年07月                   中国人民大学统计学专业            硕士           

2011年07月                   北京师范大学统计学专业            本科

 

研究兴趣:

大规模假设检验,统计遗传学,全基因组测序关联分析,项目反应理论。


发表论文

  • Liu, Y. and Xie, J.(2019). Accurate and efficient p-value calculation via Gaussian approximation: a novel Monte-Carlo method. Journal of the American Statistical Association. 114:525, 384-392.

  • Liu, Y., Chen, S., Li, Z., Morrison, A.C., Boerwinkle, E., and Lin, X. (2019).ACAT: a fast and powerful p-value combination method for rare-variant analysis in sequencing studies. The American Journal of Human Genetics. 104(3), 410-421.

  • Liu, Y. and Xie, J. (2019). Cauchy combination test: a powerful test with analytic p-value calculation under arbitrary dependency structures. Journal of the American Statistical Association. Published online.

  • Li, Z., Li, X., Liu, Y., Shen, J., Chen, H., Zhou, H., Morrison, A.C., Boerwinkle, E., and Lin, X. (2019). Dynamic scan procedure for detecting rare-variant association regions in whole genome sequencing studies. The American Journal of Human Genetics. 104(5), 802-814.

  • Su, R., Zhang, Q, Liu, Y. and Tay, L. (2019). Modeling congruence in organizational research with latent moderated structural equations. Journal of Applied Psychology. Published online.

  • Liu, Y. and Xie, J.(2018). Powerful test based on conditional effects for genomewide screening. The Annals of Applied Statistics. 12(1), 567.

  • Cao, M., Tay, L. and Liu, Y.(2017). A Monte Carlo study of an iterative Wald test procedure for DIF analysis. Educational and Psychological Measurement. 77(1),104-118.


 

 

 

 

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