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
Middleton, M, Nguyen, C, Moreno-Betancur, M, Carlin, JB, Lee, KJ.
Evaluation of multiple imputation approaches for handling missing covariate information in a case-cohort study with a binary outcome.
BMC Medical Research Methodology
22(1)
:
87
2022
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Priest, N, Guo, S, Gondek, D, Lacey, RE, Burgner, D, Downes, M, Slopen, N, Goldfeld, S, Moreno-Betancur, M, Kerr, JA, et al.
The effect of adverse and positive experiences on inflammatory markers in Australian and UK children.
Brain Behavior & Immunity - Health
26:
100550
2022
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O’Connor, M, Moreno-Betancur, M, Goldfeld, S, Wake, M, Patton, G, Dwyer, T, Tang, MLK, Saffery, R, Craig, JM, Loke, J, et al.
Data Resource Profile: Melbourne Children’s LifeCourse initiative (LifeCourse).
International Journal of Epidemiology
51(5)
:
e229 -e244
2022
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Wijesuriya, R, Moreno‐Betancur, M, Carlin, J, De Silva, AP, Lee, KJ.
Multiple imputation approaches for handling incomplete three‐level data with time‐varying cluster‐memberships.
Statistics in Medicine
41(22)
:
4385 -4402
2022
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Moran, P, Moreno-Betancur, M, Coffey, C, Spry, EA, Patton, GC.
Impact of early intervention on the population prevalence of common mental disorders: 20-year prospective study.
The British Journal of Psychiatry
221(3)
:
558 -566
2022
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