GENG Zhi

professor
zhigeng@pku.edu.cn
38 College Road, Beijing, China, 100191
Peking University

Personal profile

Education

Ph. D 1989 Statistics, Kyushu University, Japan

B. S. 1982 Computer Science, Shanghai Jiaotong University

Professional Appointments

1994- Professor of Statistics Department of Probability and Statistics, Peking University

1991-1994 Associate Professor Department of Probability and Statistics, Peking University

1989-1991 Lecturer Department of Probability and Statistics, Peking University

Professional Society Affiliations

2009-2017 President, Chinese Association of Applied Statistics

2007-2017 Vice president of China Statistical Society

2002-2006 President, Chinese Society of Probability and Statistics, Chinese Mathematical Society

1996- Elected Member, International Statistical Institute (ISI)

1991-2018 Associate Editor, Computational Statistics and Data Analysis 2011-2018 Associate Editor, Epidemiological Methods

2012- Associate Editor, Communications in Mathematics and Statistics

Main research directions

Statistics, Biostatistics

1. Causal inference

2. Causal networks

3. Yule-Simpson paradox, Surrogate Paradox

4. Incomplete data analysis

Representative scientific research projects

2012-2015 Causal Inference National Nature Science Foundation of China

2014-2017 Biostatistics National Nature Science Foundation of China

10 representative papers

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.