Pauline joined the ANU Statistical Consulting Unit in January 2009. She has extensive experience in designing glasshouse/laboratory experiments and filed trials, survey design and analyzing data from complex expirements. Pauline's statistical methodological interest is in the area of estimation and inference of large complex data, i.e., longitudinal, spatial, multivariate longitudinal data.
Vassallo, F. and Ding, P. (2016). Explaining Protest in the Aftermath of the Great Recession in Europe: The Relevance of Different Economic Indicators**. Partecipazione e Conflitto, 9(1).
Rawlings, L., Robson, S. and Ding, P. (2015) Socioeconomic response by age group to the Australian Baby Bonus: a multivariate analysis of birth data from 2001-13. Australian Journal of Labour Economics, (to appear).
Paton, J., Kljakovic, M., Ciszek, K. and Ding, P. (2012) Infant Feeding Practices and Nut Allergy over Time in Australian School Entrant Children. Journal of Pediatrics, 2012, 1-5.