My research work has been mainly focused on missing data problems and causal inference, including how to improve both estimation efficiency and robustness against possible model misspecification. This is my Google Scholar page. 

Publications

1. (Accepted) He, Q., Zhang, S., LeBlanc. M.L. and Zhao, Y. (2024). Estimating individualized treatment rules by optimizing the adjusted probability of a longer survival. Statistical Methods in Medical Research.

2. Zhang, S., Han, P. and Wu, C. (2023). Calibration techniques encompassing survey sampling, missing data analysis, and causal inference. International Statistical Review. 91(2). 165–192. DOI: 10.1111/insr.12518

3. Zhang, S., LeBlanc. M.L. and Zhao, Y. (2022). Restricted survival benefit with right-censored data. Biometrical Journal. 64(4). 696–713. DOI: 10.1002/bimj.202000392

4. Zhang, S., Han, P. and Wu, C. (2020). A multiply robust Mann-Whitney test for non-randomized pretest-posttest studies with missing data. Journal of Nonparametric Statistics. 32(2). 323-344. DOI: 10.1080/10485252.2020.1736290 

5. Zhang, S., Han, P. and Wu, C. (2019). Empirical likelihood inference for non-randomized pretest-posttest studies with missing data. Electronic Journal of Statistics. 13(1). 2012-2042. DOI: 10.1214/19-EJS1566

6. Zhang, S., Han, P. and Wu, C. (2019). A unified empirical likelihood approach to testing MCAR and subsequent estimation. Scandinavian Journal of Statistics. 46(1). 272-288. (This paper won Best Student Paper Award of the Survey Methods Section (SMS), Statistical Society of Canada.) DOI: 10.1111/sjos.12351

7. Wu, C. and Zhang, S. (2019). Comments on "Deville and Särndal’s calibration: revisiting a 25 years old successful optimization problem" by Devaud, D. and Tillé, Y. (2019). TEST. 28(4). 1082-1086. DOI: 10.1007/s11749-019-00682-2

8. Zhang, S., Han, P. and Wu, C. (2017). A unified empirical likelihood approach to testing MCAR and subsequent estimation. Proceedings of the Survey Methods Section (SMS) of the Statistical Society of Canada (SSC). 2017 Annual Meeting, University of Manitoba, Winnipeg. Link

9. Wong, A.C.M. and Zhang, S. (2017). A directional approach for testing homogeneity of inverse Gaussian scale-like parameters. Biostatistics and Biometrics Open Access Journal. 3(2). 555608. DOI: 10.19080/BBOAJ.2017.03.555608

10. Li, C.K. and Zhang, S. (2015). Stationary probability vectors of higher-order Markov chains. Linear Algebra and its Applications. 473. 114-125. DOI: 10.1016/j.laa.2014.03.043

Software

MultiRobust: An R package for multiply robust estimation with missing data. It includes marginal mean and quantile estimation, regression analysis and quantile regression. Available on CRAN.

Selected Presentations

Pierre Robillard Award Address, Jun 2020, Statistical Society of Canada. (Virtual due to COVID-19) Link

Post-Doc Speaker Series, May 2020, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA. (Virtual due to COVID-19)

The 47th Annual Meeting of the Statistical Society of Canada. May 2019, University of Calgary, Calgary, Alberta, Canada.

Stat Seminar. Department of Mathematical and Statistical Sciences, Jan 2019, University of Alberta, Edmonton, Alberta, Canada.

Special Seminar. Department of Epidemiology, Biostatistics and Occupational Health, Nov 2018, McGill University, Montréal, Québec, Canada.

Joint Statistical Meetings.  Jul 2018, Vancouver, British Columbia, Canada.

The 46th Annual Meeting of the Statistical Society of Canada. Jun 2018, McGill University, Montréal, Québec, Canada.

The 45th Annual Meeting of the Statistical Society of Canada. Jun 2017, University of Manitoba, Winnipeg, Manitoba, Canada.

Spring School on Statistical Inference for Survey Data with Missing Observations. Jun 2017, Fields Institute, Toronto, Ontario, Canada.