Books

Online Resources

• Topics in Statistical Consulting - coauthored and edited with SCSRU at University of Waterloo.
• A First Course in Statistics - written based on my lecture notes for AFM 113, Spring 2022 at University of Waterloo.

• Van der Vaart, A. W. (2000). Asymptotic statistics (Vol. 3). Cambridge University Press.
• Howell, D. C. (2012). Statistical methods for psychology. Cengage Learning.
• Douglas, C. M. (2012). Design and analysis of experiments. John Wiley & Sons Ltd.
• Atkinson, A., Donev, A., & Tobias, R. (2007). Optimum experimental designs, with SAS. OUP Oxford.
• McCulloch, C. E., & Searle, S. R. (2004). Generalized, linear, and mixed models. John Wiley & Sons.
• Seber, G. A., & Wild, C. J. (2003). Nonlinear regression. New Jersey: John Wiley & Sons.
• Särndal, C. E., Swensson, B., & Wretman, J. (2003). Model assisted survey sampling. Springer Science & Business Media.
• Wu, C., & Thompson, M. E. (2020). Sampling theory and practice. Cham: Springer International Publishing.
• Tsiatis, A. A. (2006). Semiparametric theory and missing data.
• Zhao, Q. (2022). Lecture notes on causal inference.
• Harrer, M., Cuijpers, P., Furukawa, T. A., & Ebert, D. D. (2019). Doing meta-analysis with R: A hands-on guide.
• Gelman, A., Carlin, J. B., Stern, H. S., & Rubin, D. B. (1995). Bayesian data analysis. Chapman and Hall/CRC.
• Kolaczyk, E. D., & Csárdi, G. (2014). Statistical analysis of network data with R (Vol. 65). New York, NY: Springer.
• Whittaker, J. (2009). Graphical models in applied multivariate statistics. Wiley Publishing.