Professor Chris Wild
BSc, MSc (Hons I) Auckland, PhD (U. Waterloo, Canada, 1979)
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 channelISR-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
- 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
Identifiers
Contact details
- +64 9 923 8797
- +64.9.923.8797
- c.wild@auckland.ac.nz
- Media Contact
Primary office location
SCIENCE CENTRE 303S - Bldg 303S
Level 3, Room 381
38 PRINCES ST
AUCKLAND CENTRAL
AUCKLAND 1010
New Zealand