You are here
Dr Margarita Moreno Betancur
Dr Moreno-Betancur is recipient of a Discovery Early Career Researcher Award (DECRA) Fellowship in Statistical Methods from the Australian Research Council, and is Team Leader/Senior Research Fellow at The University of Melbourne and the Murdoch Children's Research Institute. She leads research that focuses on the development of statistical methods that are motivated by the issues arising in clinical and population health research projects on which she collaborates, with particular focus in the areas of causal inference, missing data and survival analysis. Her emerging leadership in biostatistics is reflected by her roles in the management teams of the Victorian Centre for Biostatistics (ViCBiostat) and the MCRI's LifeCourse Initiative, comprised of over 40 longitudinal cohort studies.
After a BSc in Pure Mathematics at Universidad de los Andes (Bogota) and an MSc in Statistics at Université Pierre et Marie Curie (Paris), Dr Moreno-Betancur obtained a PhD in Biostatistics from Université Paris-Sud (Paris) financed by a grant from the French Minister of Education and Research. Prior to arriving in Melbourne, she held a postdoctoral role at the French Epidemiology Centre on Medical Causes of Death (Inserm CépiDc).
In addition to her research activities, throughout her career, Dr Moreno-Betancur has acquired experience in teaching, student supervision and statistical consulting.
Dr Moreno-Betancur's research concerns the development of statistical methods for the analysis of clinical and population health studies. She has interests across the following areas:
1. Methods for causal inference (e.g. mediation analysis, propensity score, etc) in longitudinal studies based on cohort, registry or administrative linked data.
2. Methods for handling missing data in longitudinal studies, with repeated or time-to-event (survival) data.
3. Methods for survival analysis, particularly with time-dependent covariates (“joint modelling") or competing risks (as arise e.g. in the analysis of cause-specific mortality).
4. Methods for measuring, comparing and understanding inequalities in health.
- Biostatistical methodology projects in the areas above
- Collaborative projects in various areas (mental health, childhood adversity, adolescent health, childhood cardiomyopathy, Duchenne muscular dystrophy, food allergy, macular hole surgery)
Biostatistical methodology research (selected)
Moreno-Betancur M, Lee KL, Leacy FP, White IR, Simpson JA, Carlin JB. Canonical causal diagrams to guide the treatment of missing data in epidemiological studies. American Journal of Epidemiology [Epub ahead of Print 14 August 2018]. Journal link (open access)
Moreno-Betancur M, Carlin JB. Understanding interventional effects: a more natural approach to mediation analysis? Epidemiology 2018; 29(5): 614-617. Journal link
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 2017 [Epub ahead of print 12 Oct 2017]. Journal link
Moreno-Betancur M, Koplin J, Ponsonby A-L, Lynch J, Carlin JB. Measuring the impact of differences in risk factor distributions on cross-population differences in disease occurrence: A causal approach. International Journal of Epidemiology 2018; 47(1): 217-225. Journal link
Moreno-Betancur M, Sadaoui H, Piffaretti C, Rey G. Survival analysis with multiple causes of death: Extending the competing risks model. Epidemiology 2017; 28(1): 12-19. Journal link
Moreno-Betancur M, Latouche A, Menvielle G, Kunst AE, Rey G. Relative index of inequality and slope index of inequality: A structured regression framework for estimation. Epidemiology 2015; 26(4):518-527. Journal link; Pre-print access
Moreno-Betancur M, Rey G, Latouche A. Direct likelihood inference and sensitivity analysis for competing risks regression with missing causes of failure. Biometrics 2015; 71(2):498-507. Journal link
Moreno-Betancur M, Chavance M. Sensitivity analysis of incomplete longitudinal data departing from the missing at random assumption: Methodology and application in a clinical trial with drop-outs . Statistical Methods in Medical Research 2016; 25(4) 1471–1489. Journal link
Moreno-Betancur M, Latouche A. Regression modeling of the cumulative incidence function with missing causes of failure using pseudo-values. Statistics in Medicine 2013; 32(18):3206-3223
Collaborative clinical and population health research (selected)
Bernard JY, P an H, Aris IM, Moreno-Betancur M, Soh S-E, Yap F, Tan KH, Shek LP, Chong Y-S, Gluckman PD, Calder PC, Godfrey KM, Chong MF, Kramer MS, Karmani N, Lee YS. Long-chain polyunsaturated fatty acids, gestation duration and birth size: a Mendelian randomization study using FADS variants. American Journal of Clinical Nutrition 2018 [accepted 23 March 2018].
Shi WY, Moreno-Betancur M, Nugent AW, Cheung M, Colan S, Turner C, Sholler GF, Robertson T, Justo R, Bullock A, King I, Davis AM, Daubeney PEF, Weintraub RG for the National Australian Childhood Cardiomyopathy Study. Long-Term Outcomes of Childhood Left Ventricular Non-Compaction Cardiomyopathy: Results from a National Population-Based Study. Circulation 2018 [Epub ahead of print 7 Mar 2018].
Dugué PA, Bassett JK, Joo JE, Jung C, Wong EM, Moreno-Betancur M, Schmidt D, Makalic E, Li S, Severi G, Hodge AM, Buchanan DD, English DR, Hopper JL, Southey MC, Giles GG, Milne RL. DNA methylation-based biological aging and cancer risk and survival: Pooled analysis of seven prospective studies. International Journal of Cancer 2018; 142(8):1611-1619.
Borschmann R, Becker D, Coffey C, Spry E, Moreno-Betancur M, Moran P, Patton GC. 20-year outcomes in adolescents who self-harm: a population-based cohort study. The Lancet Child & Adolescent Health 2017; 1(3):195-202.
Molloy J, Koplin JJ, Allen KJ, Tang MLK, Collier F, Carlin JB, Saffery R, Burgner D, Ranganathan S, Dwyer T, Ward AC, Moreno-Betancur M, Clarke M, Ponsonby A-L, Vuillermin P, The BIS investigator group. Vitamin D insufficiency in the first 6 months of infancy and challenge-proven IgE-mediated food allergy at 1 year of age: a case-cohort study. Allergy 2017; 72(8): 1222–1231.
Essex RW, Kingston ZS, Moreno-Betancur M, Shadbolt B, Hunyor A, Campbell WG, Connell PP, McAllister IL. The effect of post-operative face-down positioning, and of long vs. short acting gas, in macular hole surgery. Ophthalmology 2016; 123(5):1129-36.