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Role Group Leader / Princ Research Fellow
Research area Population Health
Assoc. 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. She leads an 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), A/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.
Assoc. 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...
Assoc. 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. She leads an 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), A/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

  • De Silva, AP, Moreno-Betancur, M, De Livera, AM, Lee, KJ, Simpson, JA. Multiple imputation methods for handling missing values in a longitudinal categorical variable with restrictions on transitions over time: a simulation study. BMC Medical Research Methodology 19(1) : 14 2019
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  • Borschmann, R, Molyneaux, E, Spry, E, Moran, P, Howard, LM, Macdonald, JA, Brown, SJ, Moreno-Betancur, M, Olsson, CA, Patton, GC. Pre-conception self-harm, maternal mental health and mother–infant bonding problems: a 20-year prospective cohort study. Psychological Medicine 49(16) : 2727 -2735 2019
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  • Kiadaliri, A, Moreno-Betancur, M, Turkiewicz, A, Englund, M. Educational inequalities in all-cause and cause-specific mortality among people with gout: a register-based matched cohort study in southern Sweden. International Journal for Equity in Health 18(1) : 164 2019
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  • Brilleman, SL, Crowther, MJ, Moreno-Betancur, M, Novik, JB, Dunyak, J, Al-Huniti, N, Fox, R, Hammerbacher, J, Wolfe, R. Joint longitudinal and time-to-event models for multilevel hierarchical data. Statistical Methods in Medical Research 28(12) : 3502 -3515 2019
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  • Lee, KJ, Moreno‐Betancur, M, Kasza, J, Marschner, IC, Barnett, AG, Carlin, JB. Biostatistics: a fundamental discipline at the core of modern health data science. The Medical Journal of Australia 211(10) : 444 -446.e1 2019
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