photo of Dr Marnie Downes

Dr Marnie Downes

Dr Marnie Downes

Details

Role Biostatistician (Snr Research Officer)
Research area Population Health
Marnie joined the Clinical Epidemiology and Biostatistics Unit (CEBU) as a postdoctoral biostatistician in 2020 after completing her PhD in Biostatistics at the University of Melbourne.

Marnie supports a number of research streams at Murdoch Children's Research Institute (MCRI) including Changing Children's Chances where she provides input on epidemiological design and statistical methods to single- and multi-cohort research projects. She has developed valuable experience working in the context of socioeconomic inequities in child and adolescent health and in the implementation of novel causal mediation methodology applied to data from existing longitudinal cohort studies and large administrative data sources.

Marnie's expertise is underpinned by methodological research in causal inference, conducted as part of the causal team within CEBU. Her current methodological research focuses on the application of the target trial framework for causal inference specifically in the context of multi-cohort studies, where the identification of potential sources of bias both within and between contributing cohorts is critically important to inform analysis planning and appropriate interpretation of findings.

Marnie is involved in the teaching of regular CEBU short courses and is also a Lecturer of Biostatistics at the University of Melbourne.

Marnie has previous experience working at the University of Melbourne Statistical Consulting Centre (2005-2010) and the Centre for Biostatistics and Clinical Trials at Peter MacCallum Cancer Centre (2010-2014). She is affliated with the Victorian Centre for Biostatistics (ViCBiostat) and maintains professional accreditation with the Statistical Society of Australia.
Marnie joined the Clinical Epidemiology and Biostatistics Unit (CEBU) as a postdoctoral biostatistician in 2020 after completing her PhD in Biostatistics at the University of Melbourne.

Marnie supports a number of research streams at Murdoch...
Marnie joined the Clinical Epidemiology and Biostatistics Unit (CEBU) as a postdoctoral biostatistician in 2020 after completing her PhD in Biostatistics at the University of Melbourne.

Marnie supports a number of research streams at Murdoch Children's Research Institute (MCRI) including Changing Children's Chances where she provides input on epidemiological design and statistical methods to single- and multi-cohort research projects. She has developed valuable experience working in the context of socioeconomic inequities in child and adolescent health and in the implementation of novel causal mediation methodology applied to data from existing longitudinal cohort studies and large administrative data sources.

Marnie's expertise is underpinned by methodological research in causal inference, conducted as part of the causal team within CEBU. Her current methodological research focuses on the application of the target trial framework for causal inference specifically in the context of multi-cohort studies, where the identification of potential sources of bias both within and between contributing cohorts is critically important to inform analysis planning and appropriate interpretation of findings.

Marnie is involved in the teaching of regular CEBU short courses and is also a Lecturer of Biostatistics at the University of Melbourne.

Marnie has previous experience working at the University of Melbourne Statistical Consulting Centre (2005-2010) and the Centre for Biostatistics and Clinical Trials at Peter MacCallum Cancer Centre (2010-2014). She is affliated with the Victorian Centre for Biostatistics (ViCBiostat) and maintains professional accreditation with the Statistical Society of Australia.

Top Publications

  • Gray, S, Guo, S, Pham, C, Downes, M, Lange, K, Woolfenden, S, Redmond, G, Priest, N, O'Connor, M, Badland, H, et al. Epidemiology of child disadvantage and developmental vulnerability in Australia: Insights from linked administrative data.. Public Health 251: 106111 2026
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  • Machalek, DA, Vette, KM, Downes, M, Carlin, JB, Nicholson, S, Hirani, R, Irving, DO, Gosbell, IB, Gidding, HF, Shilling, H, et al. SEROLOGICAL TESTING OF BLOOD DONORS TO CHARACTERISE THE IMPACT OF COVID-19 IN MELBOURNE, AUSTRALIA, 2020. 2026
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  • Gray, S, Guo, S, Downes, M, O'Connor, M, Moreno-Betancur, M, Goldfeld, S. Data Management and Research Workflow Framework. 2026
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  • Koirala, A, McRae, J, Britton, PN, Downes, M, Prasad, SA, Nicholson, S, Winkler, NE, O’Sullivan, MVN, Gondalwala, F, Castellano, C, et al. The seroprevalence of SARS-CoV-2-specific antibodies in Australian children: a cross sectional study. 2026
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  • Gray, S, Goldfeld, S, Downes, M, Guo, S, Moreno-Betancur, M, O'Connor, M, Pham, C, Rudkin, A, O'Connor, E, Azpitarte, F, et al. Utilising linked administrative data to model the impact of stacked early childhood interventions on developmental inequities. International Journal for Population Data Science 10(4) : 2026
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