Professor Chris Wild

BSc, MSc (Hons I) Auckland, PhD (U. Waterloo, Canada, 1979)

Senior Lecturer

In: Statistics » Faculty of Science

Biography

Chris Wild 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 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.

Research | Current

Currently, my 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 my 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.

Keynote/Plenary addresses include:

2020 IASE 2020 Roundtable Conference, Nanjing changed to virtual by covid
2018 International Conference on Teaching Statistics, Kyoto, July
2017 US Conference on Teaching Statistics, Penn State, May
2013 US Conference on Teaching Statistics, Raleigh, North Carolina (May)
2012 The Belz Lecture (Annual Public Lecture of the Stat. Soc. of Austr. Victorian Branch & U. Melbourne)
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

Resources

iNZight: A data analysis system with a particularly short learning curve
Visual Inference Tools
"Wild About Statistics" Youtube Channel and Index to channel ISR-15: Dynamic content for "Accessible Conceptions of Statistical Inference: Pulling ourselves up by the bootstraps"
Bootstrap animations
Software for response selective and missing data problems
Some major Talks (Movie + Animations + Slides)
Animations underlying Wild et al. JRSSA 2011

Distinctions/Honours

Fellow, American Statistical Association
Fellow, Royal Society of New Zealand
Elected Member of the International Statistical Institute
Honorary Life Member, NZ Statistical Association
Campbell Award (principal award of the NZ Statistical Association)
Tertiary Teaching Excellence Award (2003)

Committees/Professional groups/Services

Council member, International Statistical Institute (2005 - 2009)
President, International Association for Statistics Education (IASE, 2003 - 2005)
Associate Editor, International Statistical Review (2001-2016)
Associate Editor, Biometrics (1997-2000), the Statistics Education Research Journal (SERJ) (2001-2005), and the Australian and New Zealand Journal of Statistics (1998-2003)

Selected publications and creative works (Research Outputs)

Neuhaus, J. M., Mcculloch, C. E., Boylan, R., Scott, A. J., Wild, C. J., & Jiang, Y. (2013). Likelihood-based analysis of longitudinal data from outcome-related sampling designs. Biometrics10.1111/biom.12108
Other University of Auckland co-authors: Yannan Jiang
Pfannkuch, M., Wild, C., & Regan, M. (2013). Students’ difficulties in practicing computer-supported statistical inference: Some hypothetical generalizations from a study. In T. Wassong, D. Frischmeier, P. R. Fischer, R. Hochmuth, P. Bender (Eds.) Mathematik- und Stochastiklernen mit Werkzeugen : Using Tools for Learning Mathematics and Statistics (pp. 393-402). Wiesbaden Germany: Springer Spektrum. 10.1007/978-3-658-03104-6_28
Other University of Auckland co-authors: Maxine Pfannkuch
Scott, A. J., & Wild, C. J. (2011). Fitting regression models with response-biased samples. Canadian Journal of Statistics, 39 (3), 519-536. 10.1002/cjs.10114
URL: http://hdl.handle.net/2292/9314
Jiang, Y., Scott, A. J., & Wild, C. J. (2011). Adjusting for Non-Response in Population-Based Case-Control Studies. International Statistical Review, 79 (2), 145-159. 10.1111/j.1751-5823.2011.00132.x
URL: http://hdl.handle.net/2292/9311
Other University of Auckland co-authors: Yannan Jiang
Wild, C. J., Pfannkuch, M., Regan, M., & Horton, N. J. (2011). Towards more accessible conceptions of statistical inference. Journal of the Royal Statistical Society Series A: Statistics in Society, 174 (2), 247-295. 10.1111/j.1467-985X.2010.00678.x
Other University of Auckland co-authors: Maxine Pfannkuch
Arnold, P., Pfannkuch, M., Wild, C. J., Regan, M., & Budgett, S. (2011). Enhancing students' inferential reasoning: From hands-on to "movies". Journal of Statistics Education, 19 (2)
URL: http://hdl.handle.net/2292/9312
Other University of Auckland co-authors: Stephanie Budgett, Maxine Pfannkuch
Pfannkuch, M., Regan, M., Wild, C., & Horton, N. J. (2010). Telling data stories: Essential dialogues for comparative reasoning. Journal of Statistics Education, 18 (1), 1-38. Related URL.
URL: http://hdl.handle.net/2292/9292
Other University of Auckland co-authors: Maxine Pfannkuch
Lee, A. J., Scott, A. J., & Wild, C. J. (2010). Efficient estimation in multiphase case-control studies. Biometrika, 97 (2), 361-374. 10.1093/biomet/asq009
URL: http://hdl.handle.net/2292/9303
Other University of Auckland co-authors: Alan Lee