Dr Miguel-Angel Luque


Assistant Professor
of Epidemiology


Keppel Street
United Kingdom

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 hold 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. Afterward, 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. 


Department of Non-communicable Disease Epidemiology
Faculty of Epidemiology and Population Health


Centre for Evaluation
Centre for Statistical Methodology


I teach on various modules of the distance learning MSc in Epidemiology, such as the Advanced Statistical Methods in Epidemiology (EPM304), and Causal Inference for the MSc in Medical Statistics. I have been co-organized of the module EPM307 (Global Epidemiology of Non-Communicable Diseases). Also, I have taught "Introduction to Survival Analysis" 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 the 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 the impact of the 2009 economic crisis on stillbirth rates among African immigrant women in Spain and evaluating the best framework to extract cancer patients comorbidity information from population-based administrative records. Also, I am developing in collaboration with colleagues from the Cancer Survival Group data-adaptive methods for model selection and evaluation based on cross-validation techniques (cvAUROC) and applying advanced causal inference methods such as targeted maximum likelihood estimation (TMLE) to study cancer outcomes.

Recently, I have programmed the implementation of TMLE for Stata statistical software users, named ELTMLE and divulgated it at the Stata Users Group Meeting in London, 2017. Together with collaborators from the Cancer Survival Group, we proposed a structural framework for population-based cancer epidemiology and evaluate the performance of double-robust estimators for a binary exposure in cancer mortality. In simulations studies, we have demonstrated that TMLE shows the best bias-variance trade-off, more precise estimates, and appropriate 95% confidence interval coverage than its competitors, supporting the use of the data-adaptive model selection strategies based on machine-learning algorithms. We applied TMLE to estimate adjusted one-year mortality risk differences in 183,426 lung cancer patients diagnosed after admittance to an emergency department versus non-emergency cancer diagnosis in England, 2006–2013. The adjusted mortality risk (for patients diagnosed with lung cancer after admittance to an emergency department) was 16% higher in men and 18% higher in women, suggesting the importance of interventions targeting early detection of lung cancer signs and symptoms.

Research Area
Clinical databases
Health inequalities
Maternal health
Perinatal health
Public health
Statistical methods
Global Health
Impact evaluation
Reproductive health
Disease and Health Conditions
Cardiovascular disease
Chronic disease
Sexually transmitted disease
Non-communicable diseases
Sexually transmitted infection
Central African Republic
Democratic Republic of the Congo
United Kingdom
United States of America
South Africa
European Union
Latin America & Caribbean (all income levels)
North America
South Asia
Sub-Saharan Africa (all income levels)

Selected Publications

Effect Modification and Collapsibility in Evaluations of Public Health Interventions.
Luque-Fernandez MA; Redondo-Sanchez D; Schomaker M
American journal of public health
Targeted maximum likelihood estimation for a binary treatment: A tutorial.
Luque-Fernandez MA; Schomaker M; Rachet B; Schnitzer ME
Statistics in medicine
\"Nonfunctional\" Adrenal Tumors and the Risk for Incident Diabetes and Cardiovascular Outcomes: A Cohort Study.
Lopez D; Luque-Fernandez MA; Steele A; Adler GK; Turchin A; Vaidya A
Annals of internal medicine
Adjusting for overdispersion in piecewise exponential regression models to estimate excess mortality rate in population-based research.
Luque-Fernandez MA; Belot A; Quaresma M; Maringe C; Coleman MP; Rachet B
BMC medical research methodology
Deconstructing the smoking-preeclampsia paradox through a counterfactual framework.
Luque-Fernandez MA; Zoega H; Valdimarsdottir U; Williams MA
European journal of epidemiology
Is the fetoplacental ratio a differential marker of fetal growth restriction in small for gestational age infants?
Luque-Fernandez MA; Ananth CV; Jaddoe VWV; Gaillard R; Albert PS; Schomaker M; McElduff P; Enquobahrie DA; Gelaye B; Williams MA
European journal of epidemiology
Unemployment and stillbirth risk among foreign-born and Spanish pregnant women in Spain, 2007-2010: a multilevel analysis study.
Luque-Fernandez MA; Franco M; Gelaye B; Schomaker M; Garitano IG; D'Este C; Williams MA
European journal of epidemiology
Seasonal variation of 25-hydroxyvitamin D among non-Hispanic black and white pregnant women from three US pregnancy cohorts.
Luque-Fernandez MA; Gelaye B; VanderWeele T; Ferre C; Siega-Riz AM; Holzman C; Enquobahrie DA; Dole N; Williams MA
Paediatric and perinatal epidemiology
Effectiveness of patient adherence groups as a model of care for stable patients on antiretroviral therapy in Khayelitsha, Cape Town, South Africa.
Luque-Fernandez MA; Van Cutsem G; Goemaere E; Hilderbrand K; Schomaker M; Mantangana N; Mathee S; Dubula V; Ford N; Hernán MA
PloS one
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