• von Maltitz, M.J. (2023). Encouraging Significant Learning in Mathematical Statistics through Portfolios of Learning Evidence and Interview Assessments. Proceedings of the 6^th International Academic Conference on Education, Oxford, UK, 24-26 March 2023. DOI: https://www.doi.org/10.33422/6th.iaceducation.2023.03.105
• von Maltitz, M.J., Fabris-Rotelli, I., Smit, A., Roberts, D., Das, S., Maposa, D. (2023). A guiding rubric for the early-career doctoral supervisor in Statistics. Proceedings of the 6^th International Academic Conference on Education, Oxford, UK, 24-26 March 2023. DOI: https://www.doi.org/10.33422/6th.iaceducation.2023.03.103
• van der Merwe, A.J., von Maltitz, M.J., and Meyer, J.H. (2022). A Simulation Study to Compare Reference and Other Priors in the Case of a Standard Univariate Student t-Distribution. South African Statistical Journal, 56(2): 91-120.
• Fabris-Rotelli, I., von Maltitz, M.J., Das, S., Roberts, D., Smit, A., Correa, F.M., Maposa, D., Maribe, G., (2022). Development of an early career academic supervisor in Statistics: A discussion towards a guiding rubric. ORiON, 38(1): 29-51. ISSN: 0259-191X (print) / 2224-0004 (online). DOI: http://dx.doi.org/10.5784/38-1-716
• Gbadegesin, J., Marais, L., von Maltitz, M., Cloete, J., Lenka, M., Rani, K., Campbell, M., Denoon-Stevens, S., Venter, A., Koetaan, Q., & Pretorius, W. (2022). Student Housing Satisfaction at a South African University. Journal of Student Affairs Research and Practice, 59(5). ISSN: 1949-6591 (print) / 1949-6605 (online). DOI: https://doi.org/10.1080/19496591.2022.2032111
• Esterhuyse, S., Sokolic, F., Redelinghuys, N., Avenant, M., Kijko, A., Glazewski, J., Plit, L., Kemp, M., Smit, S., Vos, A.T., von Maltitz, M.J. (2017). Vulnerability mapping as a tool to manage the environmental impacts of oil and gas extraction. Royal Society Open Science. DOI: https://doi.org/10.1098/rsos.171044
• Nienkemper-Swanepoel, J., and von Maltitz, M.J. (2017). Investigating the Performance of a Variation of Multiple Correspondence Analysis for Multiple Imputation in Categorical Data Sets. Journal of Classification 34(3): 384-398. DOI: 10.1007/s00357-017-9238-6.
• Strauss, T. and von Maltitz, M.J. (2017). Generalising Ward’s Method for Use with Manhattan Distances. PLoS ONE 12(1): e0168288. doi: 10.1371/journal.pone.0168288
• von Maltitz, M.J. and van der Merwe, A. J. (2012). An Application of Sequential Regression Multiple Imputation on Panel Data. South African Journal of Economics 80(1): 77-90.
• Pretorius, J. and von Maltitz, M.J. (2010). Artistry in Education and Aesthetic Education: A Report of Arts-Based Staff Training and Learning. Journal for New Generation Sciences 8(3): 120-151.
• Burger, R., Booysen, F., van der Berg, S., and von Maltitz, M. (2008). Marketing Wealth in a Poor African Country: Wealth Accumulation by Households in Ghana. In J.B. Davies (Ed), Personal Wealth from a Global Perspective (pp. 248-268). New York: Oxford University Press.
• Booysen, F., van der Berg, S., Burger, R., von Maltitz, M., and du Rand, G. (2008). Using an Asset Index to Assess Trends in Poverty in Seven Sub-Saharan African Countries. World Development 36(6): 1113-1130.

Statistics Education, Sequential Regression Multiple Imputation, Incomplete Data, Multivariate Statistics, Causal Inference

STSM2616 Estimation and Inference

STSM3734 Causal Inference

STSM3764 Generalised Linear Models