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
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..
Int J Epidemiol
52(4)
:
1268 -1275
2023
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Goldfeld, S, Moreno-Betancur, M, Gray, S, Guo, S, Downes, M, O'Connor, E, Azpitarte, F, Badland, H, Redmond, G, Williams, K, et al.
Addressing Child Mental Health Inequities Through Parental Mental Health and Preschool Attendance..
Pediatrics
151(5)
:
2023
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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..
Sci Rep
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 Med Res Methodol
23(1)
:
42
2023
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Moreno-Betancur, M, Lynch, JW, Pilkington, RM, Schuch, HS, Gialamas, A, Sawyer, MG, Chittleborough, CR, Schurer, S, Gurrin, LC.
Emulating a target trial of intensive nurse home visiting in the policy-relevant population using linked administrative data..
Int J Epidemiol
52(1)
:
119 -131
2023
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