photo of A/Prof Margarita Moreno Betancur

A/Prof Margarita Moreno Betancur

A/Prof Margarita Moreno Betancur

Details

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

  • Spry, EA, Olsson, CA, Aarsman, SR, Mohamad Husin, H, Macdonald, JA, Dashti, SG, Moreno-Betancur, M, Letcher, P, Biden, EJ, Thomson, KC, et al. Parental personality and early life ecology: a prospective cohort study from preconception to postpartum. Scientific Reports 13(1) : 3332 2023
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  • Zhang, J, Dashti, SG, Carlin, JB, Lee, KJ, Moreno-Betancur, M. Should multiple imputation be stratified by exposure group when estimating causal effects via outcome regression in observational studies?. BMC Medical Research Methodology 23(1) : 42 2023
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  • Lee, KJ, Carlin, JB, Simpson, JA, Moreno-Betancur, M. Assumptions and analysis planning in studies with missing data in multiple variables: moving beyond the MCAR/MAR/MNAR classification.. International Journal of Epidemiology 2023
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  • Mainzer, R, Moreno-Betancur, M, Nguyen, C, Simpson, J, Carlin, J, Lee, K. Handling of missing data with multiple imputation in observational studies that address causal questions: protocol for a scoping review. BMJ Open 13(2) : e065576 2023
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  • Dashti, SG, Mundy, L, Goddings, A-L, Canterford, L, Viner, RM, Carlin, JB, Patton, G, Moreno-Betancur, M. Modelling timing and tempo of adrenarche in a prospective cohort study. PLOS ONE 17(12) : e0278948 2022
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