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Details

Role Group Leader / Snr Princ Research Fellow
Research area Population Health
Prof Margarita Moreno-Betancur is co-Director of the Clinical Epidemiology and Biostatistics Unit (CEBU) at the MCRI and the University of Melbourne, a role within which she oversees the statistical support for observational studies and the development of CEBU's teaching and training program. This work is underpinned by her integrated program of methodological and collaborative research, supported by an NHMRC Investigator Grant (2022-26) and previously an ARC DECRA (2019-22). Her methodological areas of interest are causal inference, missing data and survival analysis, and she has contributed to epidemiological research projects in a range of areas, particularly in life course and social epidemiology. She is part of the leadership teams of the Victorian Centre for Biostatistics (ViCBiostat) and the MCRI's LifeCourse Initiative, comprised of over 30 longitudinal cohort studies, as well as the steering group of the Master of Biostatistics at the University of Melbourne.

Regarding her background, after a BSc in Pure Mathematics at Universidad de los Andes (Bogota) and an MSc in Statistics at Université Pierre et Marie Curie (Paris), Prof Moreno-Betancur obtained a PhD in Biostatistics from Université Paris-Sud (Paris) financed by a grant from the French Minister of Education and Research. She then held a postdoctoral role at the French Epidemiology Centre on Medical Causes of Death (Inserm CépiDc), after which she arrived in Melbourne as a postdoc of ViCBiostat.
Prof Margarita Moreno-Betancur is co-Director of the Clinical Epidemiology and Biostatistics Unit (CEBU) at the MCRI and the University of Melbourne, a role within which she oversees the statistical support for observational studies and the...
Prof Margarita Moreno-Betancur is co-Director of the Clinical Epidemiology and Biostatistics Unit (CEBU) at the MCRI and the University of Melbourne, a role within which she oversees the statistical support for observational studies and the development of CEBU's teaching and training program. This work is underpinned by her integrated program of methodological and collaborative research, supported by an NHMRC Investigator Grant (2022-26) and previously an ARC DECRA (2019-22). Her methodological areas of interest are causal inference, missing data and survival analysis, and she has contributed to epidemiological research projects in a range of areas, particularly in life course and social epidemiology. She is part of the leadership teams of the Victorian Centre for Biostatistics (ViCBiostat) and the MCRI's LifeCourse Initiative, comprised of over 30 longitudinal cohort studies, as well as the steering group of the Master of Biostatistics at the University of Melbourne.

Regarding her background, after a BSc in Pure Mathematics at Universidad de los Andes (Bogota) and an MSc in Statistics at Université Pierre et Marie Curie (Paris), Prof Moreno-Betancur obtained a PhD in Biostatistics from Université Paris-Sud (Paris) financed by a grant from the French Minister of Education and Research. She then held a postdoctoral role at the French Epidemiology Centre on Medical Causes of Death (Inserm CépiDc), after which she arrived in Melbourne as a postdoc of ViCBiostat.

Top Publications

  • Moreno-Betancur, M, Lee, KJ, Leacy, FP, White, IR, Simpson, JA, Carlin, JB. Canonical Causal Diagrams to Guide the Treatment of Missing Data in Epidemiologic Studies.. Am J Epidemiol 187(12) : 2705 -2715 2018
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  • Essex, RW, Hunyor, AP, Moreno-Betancur, M, Yek, JTO, Kingston, ZS, Campbell, WG, Connell, PP, McAllister, IL, Australian and New Zealand Society of Retinal Specialists Macular Hole Study Group. The Visual Outcomes of Macular Hole Surgery: A Registry-Based Study by the Australian and New Zealand Society of Retinal Specialists.. Ophthalmol Retina 2(11) : 1143 -1151 2018
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  • Moreno-Betancur, M, Carlin, JB, Brilleman, SL, Tanamas, SK, Peeters, A, Wolfe, R. Survival analysis with time-dependent covariates subject to missing data or measurement error: Multiple Imputation for Joint Modeling (MIJM).. Biostatistics 19(4) : 479 -496 2018
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  • Moreno-Betancur, M, Carlin, JB. Understanding Interventional Effects: A More Natural Approach to Mediation Analysis?. Epidemiology 29(5) : 614 -617 2018
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  • Shi, WY, Moreno-Betancur, M, Nugent, AW, Cheung, M, Colan, S, Turner, C, Sholler, GF, Robertson, T, Justo, R, Bullock, A, et al. Long-Term Outcomes of Childhood Left Ventricular Noncompaction Cardiomyopathy: Results From a National Population-Based Study.. Circulation 138(4) : 367 -376 2018
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