Dr Miguel-Angel Luque
BSc MA MPH MSc PhD
I received my Ph.D. in Preventive Medicine (Epidemiology) and Public Health, awarded with Summa Cum Laude, from the University of Granada (UGR, Spain) and the ULB (Universite Libre de Bruxelles, Belgium). Also, I have an MSc in Biostatistics from the University of Newcastle, Australia, an MSc in Epidemiology from the ULB and an MPH from the UGR. After the completion of my Ph.D. in 2010, I moved to the Center for Infectious Disease Epidemiology and Research (University of Cape Town) as a postdoctoral fellow for two years. Afterwards, I moved to the Harvard School of Public Health (Department of Epidemiology), where I specialized in epidemiologic methods from 2012 to 2015. I have also been trained as an Epidemic Intelligence Officer (EIS), and I worked as a field epidemiologist for several years in different African countries with Médecins Sans Frontières and GOARN-WHO during the Cholera epidemic in Haiti, 2010. In Europe, I worked as an epidemiologist for the local government of the city of Brussels identifying socio-demographic and economic determinants of health inequalities.
I teach on various modules of the distance learning MSc in Epidemiology, such as the Advanced Statistical Methods in Epidemiology (EPM304) and I co-organize the module EPM307 (Global Epidemiology of Non-Communicable Diseases). I also teach on the annual short course “Cancer Survival: Principles, Methods and Applications” organized by the Cancer Survival Group.
My research interests lie principally, but not exclusively in the field of epidemiologic methods aiming to assess determinants of social inequalities in population health outcomes and comparative effectiveness research. With a specific interest in longitudinal analysis, causal inference, repeated measures and translational epidemiology. At UCT, I used marginal structural models applied to large longitudinal data from Khayelitsha (HIV-Cohort) to assess the effectiveness of an observational, nonrandomized intervention. At Harvard, I used fixed effects methods in the context of the analysis of the components of the variance and within siblings design (observational cross-over) to evaluate the effect of a small fetoplacental ratio at birth on the risk of delivering a small for gestational age infant. Recently, using multilevel analysis, I studied the contextual effect of regional unemployment on stillbirth by geographical regions in Spain as a complement to previous studies where I evaluated the multiplicative effect of maternal education and ethnicity on the risk of delivering a stillborn. Currently, I am studying social inequalities in cancer survival in the UK.