Rate My Professor Elizabeth Stojanovski

Her research focuses on biostatistics, longitudinal modelling, multivariate statistics, population health, and statistics, emphasizing longitudinal relationships between life events and physical and mental health. Stojanovski has adapted and extended multivariate statistical methods, including those in Bayesian frameworks, longitudinal analyses, structural equation modelling, and meta-analytic approaches. Her applied research spans health areas such as tobacco control methods, gene effects on cancer treatments, cholesterol and blood pressure interventions, and education initiatives to enhance mathematics and statistics teaching. Notable publications include "Benchmarking of Clustering Validity Measures Revisited" with Connor Simpson and Ricardo J. G. B. Campello (2026, Statistical Analysis and Data Mining), "Using multi-way correspondence analysis to examine the Nobel Prize data in STEM related disciplines" with T. Alhuzali and E. J. Beh (2024, Communications in Statistics Case Studies Data Analysis and Applications), "Curcumin potentiates cholesterol-lowering effects of phytosterols in hypercholesterolaemic individuals" with J. J. A. Ferguson et al. (2018, Metabolism: Clinical and Experimental), and "Multiple correspondence analysis as a tool for examining Nobel Prize data from 1901 to 2018" with T. Alhuzali and E. J. Beh (2022, PLOS ONE). She has obtained $496,000 in grant funding as a chief investigator, received the Research Award for "Temporal association between life events and health" (2001), presented at international and national conferences, and serves as a member of the Statistical Society of Australia. Additionally, she reviews NHMRC project grants, manuscripts for the Medical Journal of Australia, PhD theses, and journal articles.