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Dr Miguel-Angel Luque

BSc MA MPH MSc PhD

Assistant Professor
of Epidemiology

Room
259

LSHTM
Keppel Street
London
WC1E 7HT
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 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. 

Affiliations

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

Centres

Centre for Evaluation
Statistical Methodology

Teaching

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). I also teach on the annual short course “Cancer Survival: Principles, Methods and Applications” organized by the Cancer Survival Group.

Research

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 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 taregeted 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 Surival 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
Diagnostics
Health inequalities
Maternal health
Perinatal health
Public health
Statistical methods
Water
Global Health
Impact evaluation
Inequalities
Methodology
Migration
Outbreaks
Reproductive health
Discipline
Anthropology
Epidemiology
Statistics
Disease and Health Conditions
Cancer
Cardiovascular disease
Chronic disease
HIV/AIDS
Malaria
Malnutrition
Measles
Sexually transmitted disease
Non-communicable diseases
Obesity
Sexually transmitted infection
Country
Central African Republic
Congo, Dem. Rep.
Spain
United Kingdom
Haiti
Iceland
Peru
Chad
United States
South Africa
Zambia
Zimbabwe
Region
European Union
Latin America & Caribbean (all income levels)
North America
South Asia
Sub-Saharan Africa (all income levels)

Selected Publications

Data-Adaptive Estimation for Double-Robust Methods in Population-Based Cancer Epidemiology: Risk differences for lung cancer mortality by emergency presentation.
Luque-Fernandez, M.A. ; Belot, A. ; Valeri, L. ; Ceruli, G. ; Maringe, C. ; Rachet, B. ;
2017
Am J Epidemiol
Deconstructing the smoking-preeclampsia paradox through a counterfactual framework.
Luque-Fernandez, M.A.; Zoega, H.; Valdimarsdottir, U.; Williams, M.A.;
2016
Eur J Epidemiol
Adjusting for overdispersion in piecewise exponential regression models to estimate excess mortality rate in population-based research.
Luque-Fernandez, M.A. ; Belot, A. ; Quaresma, M. ; Maringe, C. ; Coleman, M.P. ; Rachet, B. ;
2016
BMC Med Res Methodol
Is the fetoplacental ratio a differential marker of fetal growth restriction in small for gestational age infants?
Luque-Fernandez, M.A. ; Ananth, C.V. ; Jaddoe, V.W. ; Gaillard, R. ; Albert, P.S. ; Schomaker, M. ; McElduff, P. ; Enquobahrie, D.A. ; Gelaye, B. ; Williams, M.A. ;
2015
European Journal of 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, M.A. ; Van Cutsem, G. ; Goemaere, E. ; Hilderbrand, K. ; Schomaker, M. ; Mantangana, N. ; Mathee, S. ; Dubula, V. ; Ford, N. ; Hernán, M.A. ; Boulle, A. ;
2013
PloS one
Unemployment and stillbirth risk among foreign-born and Spanish pregnant women in Spain, 2007-2010: a multilevel analysis study
Luque-Fernandez, M.A. ; Franco, M. ; Gelaye, B. ; Schomaker, M. ; Garitano, I.G. ; D'Este, C. ; Williams, M.A. ;
2013
European Journal of Epidemiology
Elevation and cholera: an epidemiological spatial analysis of the cholera epidemic in Harare, Zimbabwe, 2008-2009
Luque Fernandez, M.A. ; Schomaker, M. ; Mason, P.R. ; Fesselet, J.F. ; Baudot, Y. ; Boulle, A. ; Maes, P. ;
2012
BMC public health
See all Dr Miguel-Angel Luque's Publications