Department of Statistics

Chris Wild

Job title: Professor
Phone: +64 9 373 7599 ext 88797
Office: 303.323 Science Centre
Email: c.wild@auckland.ac.nz

Biography

Currently, Chris Wild's main research interests are in statistics education with particular emphasis on visualisation, software for data analysis and conceptual development, statistical thinking and reasoning processes. Much of his career has been spent in developing methods for modelling response-selective data (e.g. case-control studies) and missing data problems, and other aspects of biostatistics.

Chris did his first degrees at Auckland followed by a PhD at the University of Waterloo in Canada before joining the then Statistics Unit of the Department of Mathematics in 1979. He is a Fellow of the American Statistical Association and a Fellow of the Royal Society of New Zealand. He has been a Council member of the International Statistical Institute (2005 - 2009), President of the International Association for Statistics Education (IASE, 2003 - 2005), an Editor of the International Statistical Review, an Associate Editor of Biometrics , the Statistics Education Research Journal (SERJ), and the Australian and New Zealand Journal of Statistics. He was Head of Auckland's Department of Statistics 2003-2007 and co-led the University of Auckland's first-year statistics teaching team to a national Tertiary Teaching Excellence Award in 2003.

Keynote/Plenary Addresses include:

2020 IASE 2020 Roundtable Conference, Nanjing changed to virtual by covid
2018 International Conference on Teaching Statistics, Kyoto
2017 50th Anniversary Conference of the Department of Statistics and Actuarial Science, University of Waterloo
2017 US Conference on Teaching Statistics, Penn State
2017 10th Research Forum on Statistical Reasoning, Thinking and Literacy, Rotorua
2013 US Conference on Teaching Statistics, Raleigh, North Carolina
2012 The Belz Lecture (Annual Public Lecture of the Stats Soc. of Australia, Victorian Branch)
2012 The Priestman Memorial Lectures (Annual Public Lecture series of the U. of New Brunswick)
2011 Canadian Mathematical Society, Toronto
2010 Australian Statistical Conference, Perth
2010 Royal Statistical Society Read Paper, RSS, London
2009 Statistical Society of Canada, Vancouver
2009 US Conference on Teaching Statistics, Columbus Ohio
2009 6th Research Forum on Statistical Reasoning, Thinking and Literacy, Brisbane
2006 7th International Conference on the Teaching of Statistics, Salvador Brazil
2005 4th Research Forum on Statistical Reasoning, Thinking and Literacy, Auckland
2004 Royal Statistical Society, Manchester UK
2003 Interamerican Statistical Institute, Rio de Janeiro

Books

Seber, G.A.F. and Wild, C.J. "Nonlinear Regression", Pub: Wiley, New York, 1989, 768 pages.
Wild, C.J. and Seber, G.A.F. "Chance Encounters: A first course in data analysis and inference," Pub: Wiley, New York, 2000, 611 pages.
Borgan, Ø., Breslow, N.E., Chatterjee, N., Gail, M.H., Scott, A., Wild, C.J. (eds). (2018). Handbook of Statistical Methods for Case-Control Studies, CRC Press, 2018.

Resources

Dynamic content for Wild et al. JRSSA 2011

Recent Essays about statistics, education and the future

Civic Statistics and iNZight: illustrations of some design principles for educational software.
On locating Statistics in the world of finding out. (Preprint. For the International Statistical Review; published version online)
Further, Faster, Wider (for the American Statistician)(personal copy)
Statistical Literacy as the Earth Moves (Statistics Education Research Journal)
What is Statistics? (Draft, for a book chapter)
Lucid Dreams about the Future. (Draft, for a book chapter)
Barriers, Threats and Opportunities. (Preprint. For Chance. Contribution to "A Conversation About Statistics Before College")

Some Selected Papers

Wild, C. J., & Ridgway, J. (2023). (PREPRINT) Civic Statistics and iNZight: Illustrations of Some Design Principles for Educational Software. In J. Ridgway (Ed.), Statistics for Empowerment and Social Engagement: Teaching Civic Statistics to Develop Informed Citizens. Springer.
Wild, C.J., Elliott, T. and Sporle, A. (2021). On Democratizing Data Science: Some iNZights into empowering the many. Harvard Data Science Review, 3(2), https://hdsr.mitpress.mit.edu/pub/8fxt1zop/release/1.
Fergusson, A. and Wild, C. J. (2021). On traversing the data landscape: Introducing APIs to data-science students, Teaching Statistics, 43 (2021), S71–S83. https://doi.org/10.1111/test.12266.
W. Burr, F. Chevalier,C. Collins, A. L. Gibbs, R. Ng, and C. J. Wild (2021). Computational skills by stealth in introductory data science teaching, Teaching Statistics, 43 (2021), S34–S51. https://doi.org/10.1111/test.12277.
Amorim, G., Scott, A.J. and Wild, C.J. (2018). Multiphase sampling. In Borgan, Ø., Breslow, N.E., Chatterjee, N., Gail, M.H., Scott, A., Wild, C.J. (eds). (2018). Handbook of Statistical Methods for Case-Control Studies (pp. 219-238), CRC Press.
Wild, C.J. (2018). Secondary Analysis of Case-Control Data. In Borgan, Ø., Breslow, N.E., Chatterjee, N., Gail, M.H., Scott, A., Wild, C.J. (eds). (2018). Handbook of Statistical Methods for Case-Control Studies (pp. 251-260), CRC Press.
Wild, C.J., Utts, J.M., Horton, N.J.. (2018). What Is Statistics?. In D. Ben-Zvi., K. Makar & J. Garfield (Eds.), International Handbook of Research in Statistics Education (pp. 5-36). Springer, Cham.
Gould, R., Wild, C.J., Baglin, J., McNamara, A., Ridgway, J., McConway, K. (2018). Revolutions in Teaching and Learning Statistics: A Collection of Reflections. In D. Ben-Zvi., K. Makar & J. Garfield (Eds.), International Handbook of Research in Statistics Education (pp. 457-472). Springer, Cham.
Wild, C.J., Pfannkuch, M., Regan, M., and Parsonage, R. (2017). Accessible conceptions of statistical inference: pulling ourselves up by the bootstraps. International Statistical Review, 85, 84-107; see also Dynamic content.
Pfannkuch, M., Budgett, S., Fewster, R., Fitch, M., Pattenwise, S., Wild, C., and Ilze Ziedins, I. (2016). Probability modeling and thinking: What can we learn from practice? Statistics Education Research Journal, 15(2), 11—36.
Neuhaus, J. M., Scott, A. J., Wild, C. J., Jiang, Y., Mcculloch, C. E., & Boylan, R (2014). Likelihood-based analysis of longitudinal data from outcome-related sampling designs. Biometrics. , 70 (1), 44-52, doi:10.1111
Wild, C.J., M. Pfannkuch, M., Regan, M. and Horton, N.J. (2011). Towards more accessible conceptions of Statistical Inference (with Discussion). Journal of the Royal Statistical Society A, 174, 247-295. Read to the Royal Statistical Society on World Statistics Day, 20 October 2010; see also Dynamic content
Scott A.J. and Wild C.J. Fitting regression models with response-biased samples. Canadian Journal of Statistics, 39, 519-536, 2011.
Jiang Y., Scott A.J., Wild C.J. Adjusting for non-response in population-based case control studies. International Statistical Review, 79(2), 145-159, 2011.
Arnold, P., Pfannkuch, M., Wild, C.J., Regan, M. Budgett, S. Enhancing students' inferential reasoning: From hands-on to "movies". Journal of Statistics Education, 19(2). 32 pages, 2011.
Lee, A.J., Scott, A.J. and Wild, C.J. Efficient estimation in multi-phase case-control studies. Biometrika, 97, pp. 361 374, doi: 10.1093/biomet/asq009, 2010.
Pfannkuch, M., Regan, M., Wild, C. and Horton, N.J. Telling Data Stories: Essential Dialogues for Comparative Reasoning. Journal of Statistics Education, 18(1), 38 pages, 2010.
Jiang, Y., Scott, A.J. and Wild, C.J., Case-control analysis with a continuous outcome variable, Statistics in Medicine, 28, 194-204, 2009.
Scott, A.J., Lee, A.J and Wild, C.J., On the Breslow-Holubkov estimator. Lifetime Data Analysis, 13, 545-563, 2007.
Wild, Chris, "Virtual Environments and the Acceleration of Experiential Learning", International Statistical Review, 75, 322-335, 2007.
Scott, A. and Wild, C., "Methods for stratified cluster sampling with informative stratification", Journal of Applied Mathematics and Decision Sciences, vol. 2007, Article ID 56372, 12 pages, 2007. doi:10.1155/2007/56372.
Lee, A.J, Scott, A.J. and Wild, C.J., Fitting binary regression models with case-augmented samples , Biometrika, 93, 385 397, 2006.
Neuhaus, J., Scott, A.J. and Wild, C.J., Family-specific approaches to the analysis of retrospective family data", Biometrics, 62, 488-494, 2006.
Wild, Chris (2006). The concept of distribution", Statistics Education Research Journal, 5(2), 10-26.
Scott, A.J. and Wild, C.J., Calculating efficient semiparametric estimators for a broad class of missing-data problems, In Festschrift for Tarmo Pukkila on his 60th Birthday. E. P. Liski, J. Isotalo, J. Niemel , S. Puntanen, and G. P. H. Styan (Eds), Dept. of Mathematics, Statistics and Philosophy, Univ. of Tampere, ISBN 978-951-44-6620-5, 301-314, 2006.
Jiang, Y., Scott, A.J. and Wild, C.J., Secondary analyses of case-control sampled data , Statistics in Medicine, 25, 1323-1339, 2006.
Pfannkuch, M. and Wild, C.J., "Towards an understanding of statistical thinking" In D. Ben-Zvi and J. Garfield (eds.), The Challenge of Developing Statistical Literacy, Reasoning, and Thinking. Dordrecht, The Netherlands: Kluwer Academic Publishers, Chapter 2, 17 46, 2004.
Scott, A.J. and Wild, C.J., "The analysis of multi-stage case-control studies." In Analysis of Complex Surveys II, R. Chambers and C.J. Skinner (eds). John Wiley and Sons: New York, 109-121, 2003.
Scott, A.J. and Wild, C.J., "On the robustness of weighted methods for fitting models to case-control data", Journal of the Royal Statistical Society, B, 64, 207-219, 2002.
Neuhaus, J., Scott, A.J. and Wild, C.J., "The Analysis of Retrospective Family Studies ", Biometrika, 89, 23-37, 2002.
Scott, A.J. and Wild, C.J., "Fitting Logistic Regression Models in Case-control Studies with Complex Sampling", Applied Statistics, 50, 389-401, 2001.
Scott, A.J. and Wild, C.J., "Maximum likelihood for generalised case-control studies", Journal of Statistical Planning and Inference, 96, 3-27, 2001.
Pfannkuch, M. and Wild, C.J., "Statistical Thinking and Statistical Practice: Themes gleaned from interviews with professional statisticians," Statistical Science, 15, 132-152, 2000.
Lawless, J.F., Wild, C.J., and Kalbfleisch, J.D "Estimation for Response-selective and Missing Data Problems in Regression", Journal of the Royal Statistical Society, B, 61, 413-438, 1999.
Wild, C.J. and Pfannkuch, M., "Statistical thinking in empirical enquiry" (with discussion). International Statisitical Review, 67, 221-266, 1999.
Scott, A.J. and Wild, C.J., "Maximum Likelihood Estimation for Case-Control Data", Biometrika, 84, 57-71, 1997.
Yee, T.W. and Wild, C.J., "Vector Generalised Additive Models", Journal of the Royal Statistical Society, B, 58, 481-493, 1996.
Wild, C.J. and Yee, T.W., "Additive Extensions to Generalized Estimating Equation Methods", Journal of the Royal Statistical Society, B, 58, 711-712, 1996.
Wild, C.J., "Continuous improvement of teaching: Case Study in a large statistics course", International Statistical Review, 63, 49-68, 1995.
Wild, C.J., "On embracing the wider view of statistics", The American Statistician, 48, 163-171, 1994.
Wild, C.J. "Fitting prospective egression models to case-control data", Biometrika, 78, 705-717, 1991.
Scott, A.J. and Wild, C.J. "Fitting logistic regression models in stratified case-control studies", Biometrics, 47, 497-510, 1991.
Scott, A.J. and Wild, C.J. Fitting logistic models under case-control or choice based sampling , Journal of the Royal Statistical Society, B, 48, 170-182, 1986.
Wild, C.J., Failure time models with matched data , Biometrika, 70, 633-641, 1983.
Wild, C.J. and Kalbfleisch, J.D. A note on a paper by Ferguson and Phadia , Annals of Statistics, 9, 1061-1065, 1981.

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