耿直檢視原始碼討論檢視歷史
耿直,男,北京大學公共衛生學院教授。
人物簡歷
曾榮獲國家傑出青年基金、國家教委和人事部全國優秀留學回國人員、國家教委跨世紀優秀人才、全國統計科學研究優秀成果獎一等獎、國家教委科技進步獎二等獎、北京市科技進步二等獎、北京市優秀教師。近5年,主持或參加國家自然科學基金面上項目2項,參加國家高技術研究發展計劃(863計劃)資助項目 1項,參加科技部973項目1項,參加國家自然科學基金委重大研究計劃 1項。
科研項目
1. 2005-2007 生物統計 國家基金委重點項目
2. 2018-2021,因果推斷方法研究及在食品安全與生物醫學中的應用 國家基金委面上項目
3. 1999-2003 應用統計(主持人) 國家基金委重點項目
4. 1998-2002 國家傑出青年基金項目 國家基金委
學術成果
論文
1. Geng, Z., Liu, Y., Liu, C. C. and Miao, W. (2019) Evaluation of causal effects and local structure learning of causal networks. Ann. Rev. Statist. & Appl. 6, 103-124.
2. Geng,Z. (1992) Collapsibility of relative risks in contingency tables with a response variable. J. Royal Statist. Soc. B54, 585-93
3. Geng, Z. and Asano,Ch. (1993) Strong collapsibility of association measures in linear models. J. Royal Statist. Soc. B55, 741-747
4. Guo, J. H. and Geng, Z. (1995) Collapsibility of logistic regression coefficients. J. Royal Statist. Soc. B57, 263-267
5. Geng, Z.,Guo, J. H. and Fung W. K. (2002) Criteria for confounders in epidemiological studies. J. Royal Statist. Soc. B64, 3-15
6. Ma, Z., Xie, X. and Geng Z. (2006) Collapsibility of distribution dependence. J. Royal Statist. Soc. B 68, 127-133.
7. Xie, X., Geng, Z. and Zhao, Q. (2006) Decomposition of structural learning about directed acrylic graphs, Artificial Intelligence 170, 422-439.
8. Chen, H., Geng, Z. and Jia, J. (2007) Criteria for surrogate end points. J. Royal Statist. Soc. B 59, 911-932.
9. Xie, X. and Geng, Z. (2008) A recursive method for structural learning of directed acyclic graphs. J. Machine Learning Research, 9,459-483.
10. Jiang, Z. C., Ding, P. and Geng, Z. (2016) Principal causal effect identification and surrogate endpoint evaluation by multiple trials. J Royal Statist. Soc. B78, 829-848.[1]