HAOCHENG LI Curriculum Vitae Department of Oncology Office: AE173N, Tom Baker Cancer Centre University of Calgary Tel: 1(403)521-3402 Calgary, Alberta, Canada E-mail: haocheng.li@ucalgary.ca Education Ph.D. Statistics-Biostatistics, University of Waterloo, 2008-2012. Thesis: Longitudinal Data Analysis with Composite Likelihood Methods. Supervisor: Grace Y. Yi. M.Econ. Statistics, Renmin University of China, 2006-2008. Supervisor: Danhui Yi. B.Econ./ B.Mgt., Renmin University of China, 2002-2006. Statistics Minor. Supervisor: Zifang Du. Commodity Science Major. Research Interests Functional data analysis; Longitudinal data analysis; Survival data analysis; Mixed effects models; Composite likelihood; Missing data Statistical applications in cancer research Employment Assistant Professor, University of Calgary, 2014-2015. Postdoctoral Research Associate, Texas A&M University, 2012-2014. Graduate Teaching Assistant, University of Waterloo, 2008-2012. Graduate Research Assistant, University of Waterloo, 2008-2012. Memberships Statistical Society of Canada, ASA, International Chinese Statistical Association.
Publications Statistical Methodology Li, H., Kozey-Keadle, S., Staudenmayer, J., Assaad, H., Huang, J. and Carroll, R. (2015). Methods to assess an exercise intervention trial based on three-level functional data. Accepted for Biostatistics. Yi, G., Rao, J. N. K. and Li, H. (2015). Weighted composite likelihood approach for analysis of survey data under two-level models. Accepted for Statistica Sinica. Li, H., Kozey-Keadle, S., Kipnis, V., and Carroll, R. (2015). Longitudinal Functional Additive Model with Continuous Proportional Outcomes for Physical Activity Data. Submitted for Biometrics. Li, H. and Yi, G. (2015). Missing Data Mechanisms for Analyzing Longitudinal Data with Incomplete Observations in Both Responses and Covariates. Submitted for Australian & New Zealand Journal of Statistics. Li, H. and Yi, G. (2015). Simultaneous variable selection and estimation for analysis of longitudinal data arising in clusters under generalized linear mixed pairwise models. In Revision for Statistica Sinica. Li, H., Staudenmayer, J. and Carroll, R. (2014). Hierarchical functional data with mixed continuous and binary measurements. Biometrics 70:802-811. Li, H. and Yi, G. (2013). A pairwise likelihood approach for longitudinal data with missing observations in both response and covariates. Computational Statistics and Data Analysis 68: 66-81. Li, H. and Yi, G. (2013). Estimation methods for marginal and association parameters for longitudinal binary data with nonignorable missing observations. Statistics in Medicine 32: 833-848. Collaborative Applications in Health Feng, X., Li, H., Dean, M., Wilson, H., Kornaga, E., Enwere, E., Tang, P., Paterson, A., Lees-Miller, S., Magliocco, A. and Bebb, G. (2015). Low ATM protein expression in malignant tumor as well as cancer-associated stroma are independent prognostic factors in a retrospective study of early-stage hormone-negative breast cancer. Breast Cancer Research 17: 65. Yu, P., Li, H., and Gagnon, M. (2009). Health IT acceptance factors in long-term care facilities: A cross-sectional survey. International Journal of Medical Informatics 78: 219-229. Yu, P., Hailey, D., and Li, H. (2008). Caregivers acceptance of electronic documentation in nursing homes. Journal of Telemedicine and Telecare 14: 261-265. Collaborative Applications in Genetics Zhou, Y., Yang, X., Wang, H., Zhang, A., Zhang, Z., Kang, R., Zeng, F., and Li, H. (2012). Molecular characterization of a complete genome and 12 Nsp2 genes of PRRSV of southwestern China. Food and Environmental Virology 4: 102-114. Working papers Li, H., Staudenmayer, J. and Carroll, R. (2015). Three-part modeling methods for complex zero-inflated functional data. Li, H. and Yi, G. (2015). Composite likelihood methods for variable selection in incomplete longitudinal data arising in clusters. 2
Li, H. and Yi, G. (2015). Hybrid composite likelihood estimation methods for incomplete longitudinal binary data. Li, H. and Yi, G. (2015). Pairwise likelihood estimation methods for doubly skewed linear mixed model. Yu, P., Qian, S., and Li, H. (2015). Developing a theoretical model and questionnaire survey instrument to measure electronic health record success. Research Funding History New Statistical Methodologies for the Analyses of Complex and Imperfect Functional Data. Natural Sciences and Engineering Research Council of Canada (NSERC), Discovery Grants. 2015-2020. Total Funding, 65,000. Collaborative Projects Li, H. Using tumour ATM status to direct precision medicine for advanced non small cell lung cancer. Joint work with cancer researchers, 2014-present. Li, H., and Carroll, R. Misclassification in the data analyses for Surveillance, Epidemiology, and End Results (SEER) Program. Joint work with cancer researchers, 2013-2014. Li, H., and Carroll, R. Functional analysis for physical activity data. Joint work with physical activity and health researchers, 2012-present. Li, H., Yi, G. and Brown, S. Longitudinal data analysis for Waterloo Smoking Prevention Survey. Joint work with public health researchers, 2012-present. Li, H. Statistical analysis for genetic data in microorganism. Joint work with genetics researchers, 2011-2014. Li, H. and Yi, G. Statistical analysis for longitudinal health survey data with missing observations. Joint work with researchers in Statistics Canada, 2009-2012. Li, H. and Yi, D. Evaluation the effect of Traditional Chinese Medicine on postponing the occurrence of vascular complications associated with type II diabetes. Joint work with medical researchers, 2007-2008. Li, H. and Yi, D. Evaluation methods for the clinical treatment effects of Traditional Chinese Medicine. Joint work with medical researchers, 2006-2008. Li, H. Evaluation the acceptance of health IT applications by caregivers in long-term care facilities. Joint work with health IT researchers, 2006-2010. Conference Talks/Presentations Li, H. Joint modeling methods for functional data mixed with zero-and-one inflated continuous proportions and skewed continuous measurements. The 43rd Annual Meeting of the Statistical Society of Canada, Halifax, Canada, 2015. Li, H. New algorithms for mixed-effects models in longitudinal data analysis. Biostatistics Seminar, Calgary, Canada, 2014. Li, H. The statistical applications of functional data analysis in physical activity studies. Cancer Epidemiology and Prevention Research Presents, Calgary, Canada, 2014. Li, H. and Carroll, R. Topics in hierarchical functional data. Sydney, Australia, 2014. ASC-IMS Conference, 3
Li, H. Hierarchical functional data with mixed continuous and binary measurements. Yale University, USA, 2013. Li, H. Functional data with mixed continuous and binary measurements. University of Toronto, Canada, 2013. Li, H. Statistical applications in biology. SiChuan University, China, 2013. Li, H. and Yi, G. A variable selection method for random effects. The 40th Annual Meeting of the Canadian Statistical Society, Guelph, Canada, 2012. Li, H. and Yi, G. Longitudinal data analysis with composite likelihood methods. Seminar Series for the CANNeCTIN Biostatistics and Methodological Innovation Working Group, Canada, 2012. Li, H. and Yi, G. Variable selection via composite likelihood for incomplete longitudinal data arising in clusters. University of Michigan, USA, 2012. Li, H. and Yi, G. An overview of the model misspecification and the composite likelihood method. Graduate Student Seminar, Waterloo, Canada, 2012. Li, H. and Yi, G. Variable selection via composite likelihood for analysis of longitudinal data arising in clusters. The 39th Annual Meeting of the Canadian Statistical Society, Wolfville, Canada, 2011. Li, H. and Yi, G. A composite likelihood approach for longitudinal data with nonignorable non-monotone missing observations in both responses and covariates. The 38th Annual Meeting of the Canadian Statistical Society, Quebec City, Canada, 2010. Li, H. and Yi, G. Methods of longitudinal data analysis with missing observations and the applications to the NPHS Data. Statistics Canada, Canada, 2009. Other Workshops/Conferences Attended Joint Statistical Meetings, Montreal, Canada, 2013. International Chinese Statistical Association Symposium, Toronto, Canada, 2013. CANNeCTIN Cutting Edge Symposium on Advanced Biostatistics and Methodological Issues in Clinical Trials, Hamilton, Canada, 2011. Statistics Canada International Symposium, Ottawa, Canada, 2009. Teaching Experience University of Waterloo: Teaching Assistant STAT 202: Introductory Statistics for Scientists. Elementary methods of data summary and presentation for non-statistics majors. STAT 230: Probability. Elementary probability theory. STAT 330: Mathematical Statistics. Advanced statistical inference methods including distribution theory and large sample theory. STAT 333: Applied Probability. Probability course with the theory of recurrent events and Markov chains. STAT 340: Computer Simulation of Complex Systems. Computation method with the implementation and analysis of simulation results. 4
STAT 431: Generalized Linear Models and their Applications. Regression models for binomial and Poisson data. Honors & Awards Sprott Scholarship for PhD Thesis Progress, University of Waterloo, 2012. Research Travel Assistantship Award, University of Waterloo, 2010-2011. Chair s Award, University of Waterloo, 2010. International Ph.D. Student Award, University of Waterloo, 2008-2011. Mathematics Graduate Experience Award, University of Waterloo, 2010-2011. Outstanding Graduate Student, Renmin University of China, 2008. Master Program Scholarship, Renmin University of China, 2007. Pure Land Learning College Fellowship, Renmin University of China, 2004. University Fellowship, Renmin University of China, 2003-2005. 5