Dr Margarita Moreno Betancur
Dr Moreno-Betancur is a postdoctoral research fellow in biostatistics methodology of the Victorian Centre for Biostatistics (ViCBiostat), a collaboration of researchers across three institutions (MCRI, Monash University and the University of Melbourne). Within her role, she contributes her statistical expertise to clinical and public health research projects, while developing statistical methods that are motivated by the issues arising in these 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).
Throughout her career, Dr Moreno-Betancur has acquired experience in teaching, student supervision and statistical consulting.
Honorary Research Fellow, Melbourne School of Population & Global Health, University of Melbourne
Honorary? Research Fellow, School of Public Health and Preventive Medicine, Monash University
Dr Moreno-Betancur's research concerns the development of statistical methods for clinical and public health studies. She has interests across the following areas:
1. Methods for dealing with missing data when modelling longitudinal and time-to-event outcomes.
2. Methods for addressing the statistical and causal issues that arise when modelling cause-specific mortality and, more generally, time-to-event data with competing risks.
3. The application of causal inference concepts to novel substantive areas, such as the comparison of disease prevalence across populations.
4. Methods for measuring socioeconomic inequalities in health.
- Biostatistics methodology projects in the areas above
- Collaborative projects in various areas (Duchenne muscular dystrophy, food allergy, macular hole surgery, adolescent health, childhood cardiomyopathy)
- 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. DOI: 10.1097/EDE.0000000000000531.
- Rey G, Piffaretti C, Rondet C, Lamarche-Vadel A, Moreno-Betancur M. Analyse de la mortalité par cause : pondération des causes multiples. Bulletin Epidémiologique Hebdomadaire, 2017; (1): 13-9.
- Piffaretti C, Moreno-Betancur M, Lamarche-Vadel A, Rey G. Quantifying cause-related mortality by weighting multiple causes of death. Bulletin of the World Health Organization 2016; 94:870-879B. DOI: 10.2471/BLT.16.172189.
- 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. DOI: 10.1097/EDE.0000000000000311.
- 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. DOI: 10.1111/biom.12295. 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 [Epub 2013 May 22]. DOI: 10.1177/0962280213490014. 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. DOI: 10.1002/sim.5755. Journal link