Lewis, Richardson & Corliss (2016). Exploring business perceptions of the compliance costs of regulation. Journal of Law and Governance (previously Journal of Business Systems Governance and Ethics) 10(2), 15-29.
Bryant, D. and Richardson, A. (2015). To be, or not to be, trained. Journal of Higher Education Policy and Management 37, 1 – 7.
Richardson, A., Ascione, J. and Barker, V. (2015) Some ways to get a piece of Pi Day action. Australian Mathematics Teacher 71(3), 13-19.
Badrick, T., Richardson, A.M., Arnott, A. and Lidbury, B.A. (2015). The early detection of anaemia and aetiology prediction through the modelling of red cell distribution width (RDW) in cross-sectional community patient data. Diagnosis accepted May 8, 2015. DOI 10.1515/dx-2015-0010
Lidbury, B.A., Richardson, A.M. and Badrick, T. (2015). Assessment of machine-learning techniques on large pathology data sets to address assay redundancy in routine liver function test profiles. Diagnosis 2, 41 – 51.
Lewis, P., Richardson, A. and Corliss, M (2014). Compliance costs of regulation for small business. Journal of Business Systems, Governance and Ethics 9, 2 – 24.
Richardson, A.M. (2014). Building capacity in statistics majors: drawing strength from a diverse region. In K. Makar, B. de Sousa, & R. Gould (Eds.), Sustainability in statistics education. Proceedings of the Ninth International Conference on Teaching Statistics (ICOTS9, July, 2014), Flagstaff, Arizona, USA. Voorburg, The Netherlands: International Statistical Institute.
Richardson, A.M. (2014). Review of A Concise Guide to Statistics. International Statistical Review 82, 326.
Richardson, A.M., Bryant, D. & Lyons, K. (2014). Student academic learning and workload strategies: what does it mean for universities? International Journal of Learning in higher Education 20(4), 51 – 60.
Bryant, D., Richardson, A.M. and Lyons, K. (2014). Retaining students who ‘did not participate’: two case studies and two lessons for universities. International Journal of Learning in higher Education 20(2), 55 – 66.
Muskat, B., Muskat, M. and Richardson, A. (2014). The effectiveness of European visitor segmentation for the Australian tourism market. Journal of Vacation Marketing 20, 55 – 64.
Richardson, A.M., Dunn, P.K., McDonald, C. and Oprescu, F. (2014). CRiSP: an instrument for assessing student perceptions of classroom response systems. Journal of Science Education and Technology published online Oct 2014. http://dx/doi.org/10.1007/s10956-014-9528-2
Londono, A.C., Castellanos, F.X., Arbelaez, A., Ruiz, A., Aguirre-Acevedo, D.C, Richardson A.M., Esteal, S., Lidbury, B.A., Arcos-Burgos, M., and Lopera, F. (2013). An H-MRS framework predicts the onset of Alzheimer’s disease symprtoms in PSEN1 mutation carriers. Alzheimer’s and Dementia, in press. http://dx.doi.org/10.1016/j.jalz.2013.08.282.
Lidbury, B.A. and Richardson, A.M. (2013). Infection status outcome, machine learning method and virus type interact to affect the optimised prediction of hepatitis virus immunoassay results from routine pathology laboratory assays in unbalanced data. BMC Bioinformatics 14, 206 – 213.
Dunn, P.K., Richardson, A.M., McDonald, C. and Oprescu, F. (2013). Mobile-phone-based classroom response systems: Students’ perceptions of engagement and learning in a large
undergraduate course. International Journal of Mathematical Education in Science and Technology 44, 1160-1174.
Shang, G., Richardson, A.M., Gahan, M.E., Easteal, S., and Lidbury, B.A. (2013). Predicting the presence of Hepatitis B virus surface antigen in Chinese patients by pathology data mining. Journal of Medical Virology 85,1334–1339.
Dunn, P.K., Richardson, A., McDonald, C. and Oprescu, F. (2012). “Mobile-phone-based classroom response systems: Students’ perceptions of engagement and learning in a large undergraduate course” International Journal of Mathematical Education in Science and Technology in press.
Richardson, A.M. (2008). Review of Advanced Distance Sampling. Ecology 89, 3550 – 3551.
Richardson, A., Hawkins, S., Shadabi, F., Sharma, D., Fulcher, J. and Lidbury, B.A. (2008). Enhanced laboratory diagnosis of human Chlamydia pneumoniae through pattern recognition derived from pathology database analysis. In M. Chetty, S. Ahmand, A. Ngom and S.W. Teng (eds). Supplementary Proceedings of PRIB 2008, Melbourne, November 14 – 16, 2008 p227 – 234. Berlin: Springer.
Richardson, A.M. (2008). Letter to the editor. Significance 5(3), 140.
Richardson, A.M. and Zhang, F. (2008). Activating multiple senses in learning Statistics. Uniserve Science Symposium Proceedings, Visualisation and Concept Development, University of Sydney October 3 – 4, 2008.
Richardson, A.M. and Zhang, F. (2008). Language support for Statistics learners. Proceedings of OZCOTS 08, Melbourne July 3 – 4, 2008.
Carney, T., Tait, D., Richardson, A. and Touyz, S. (2008). Why (and when) clinicians compel treatment of Anorexia Nervosa patients. European Eating Disorders Review 16, 199 – 206.
Richardson, A.M. (2007). An hands-on tutorial on the residual trap-catch method. Submitted. A pdf of the student notes for this activity can be found here. Pictures of the activity in action in 2007 follow:
Richardson, A.M. (2007). An active tutorial on distance sampling. Journal of Statistics Education 15(1) [online] http://www.amstat.org/publications/jse/v15n1/richardson.html.
Nargis, S. and Richardson, A.M. (2006). Small-sample performance of robust methods in logistic regression. In Brown, P. Liu, S. and Sharma, D. (eds). Contributions to Probability and Statistics: Applications and Challenges. Singapore: World Scientific Publishing.
Richardson, A.M. (2006). A dialogue with Florence Nightingale. Proceedings of the 7th International Conference on Teaching Statistics, Salvador, July 2 – 7 2006.
Maindonald, J. and Richardson, A.M. (2004). This passionate study – a dialogue with Florence Nightingale. Journal of Statistics Education 12(1) [online] http://www.amstat.org/publications/jse/v12n1/maindonald.html
Richardson, A.M. (2002). Experimental research in a statistical concepts course. Proceedings of the 6th International Conference on Teaching Statistics, Durban, July 7 – 12 2002.
Richardson, A.M. and Brans, L. (2001). Unlikely bedfellows: a dialogue between nursing and statistics. Statistical Society of Australia Incorporated Newsletter 94, 5.
Richardson, A.M. (2001). The World of Chance. Teaching Statistics 23, 61 – 64. Richardson, A.M., Brans, L.B. and Faulkner, N. (2000). The Nightingale Rose and Evidence-based Nursing. Getting a Grip on the Evidence: 2nd Australasian Colloquium on Evidence based Nursing and Midwifery, Brisbane, Feb 2000, 6.
Richardson, A.M. and Chambers, R.L. (2000). A comparison of methods for maximum likelihood under retrospective sampling. Department of Social Statistics Working Paper No. 00-01, University of Southampton, England. Richardson, A.M. (2000). Thou shalt not sit with statisticians. Teaching Statistics 22, 72.
Richardson, A.M. (2000). Empirical influence functions for bounded influence estimation in the mixed linear model. University of Canberra Technical Report ISE RR 2000/06.
Richardson, A.M. (1999). The World of Chance. University of Canberra Technical Report ISE RR 99/114.
Richardson, A.M. (1999). Computer implementation of generalised linear mixed models. University of Canberra Technical Report ISE RR 99/108.
Cox, R., Clark, D. and Richardson, A. (1999). An investigation into the effect of ensemble size and voting threshold on the accuracy of neural network ensembles. Proceedings of the 12th Australian Joint Conference on Artificial Intelligence (AI’99), Sydney, Dec, 1999, 268-277.
Richardson, A.M. (1999). The World of Chance. University of Canberra Technical Report ISE RR 99/106. Richardson, A.M. (1998). Using Genstat to screen covariates in mixed linear models. Genstat Newsletter 34, 34 – 41.
Richardson, A.M. (1997). Using Genstat to screen covariates in mixed linear models. University of Canberra Technical Report ISE RR 97/81. Welsh, A.H. and
Richardson, A.M. (1997). Approaches to the robust estimation of mixed models. In G.S. Maddala and C.R. Rao (eds.) Handbook of Statistics, Volume 15: Robust Inference 343 – 384.
Richardson, A.M. (1997). Bounded influence estimation in the mixed linear model. Journal of the American Statistical Association 92, 154 – 161.
Richardson, A.M and Welsh, A.H. (1996). Covariate screening in mixed linear models. Journal of Multivariate Analysis 58, 27 – 54.
Richardson, A.M. and Welsh, A.H. (1995). Robust restricted maximum likelihood in mixed linear models. Biometrics 51, 1429 – 1439.
Richardson, A.M. (1995). Some problems in estimation in mixed linear models. PhD thesis, Australian National University, Canberra.
Richardson, A.M. and Welsh, A.H. (1994). Asymptotic properties of restricted maximum likelihood (REML) estimates for hierarchical mixed linear models. Australian Journal of Statistics 36, 31 – 43.