Miguel Angel Luque Fernandez, PhD

Clinical Epidemiology in the Era of the Big Data Revolution: New Opportunities , at NDMORS, Medical Science Division, Oxford University, Oxford, UK, Thursday, November 2, 2017:

oxfordtalk.pdf

Science is moving towards a new data-driven paradigm. The big data revolution offers new opportunities for the development of Patient Centered Epidemiologic Methods (PCEM) under the Comparatives Effectiveness Research (CER) framework for clinical and applied epidemiologists and statisticians.

Ensemble Learning Targeted Maximum Likelihood Estimation, at London, Friday, September 8, 2017:

ma-luque_sugm_london_2017_eltmle.pdf

UK 2017 Stata Users Group Meeting

Within-sibling analysis: Fixed Effects Models (FEMs) Wednesday, September 30, 2015:

withinsiblingsshort.pdf

Cross-validation in Epidemiology, at London School of Hygiene and Tropical Medicine, Tuesday, August 25, 2015:

maluque-cross-validation_01.pdf

Cross-validation as a tool for model selection and performance evaluation.

IMPACT EVALUATION IN PUBLIC HEALTH: A COUNTERFACTUAL FRAMEWORK, at Baltimore, US, Wednesday, July 23, 2014:

jhsph-ie-2014_-v10.pdf

Talk given in the Department of International Health at the Johns Hopkins School of Public Health

Summary:

When a random clinical trial is not feasible, the evaluation of the effectiveness of a health intervention should not be prevented. Providing that high quality administrative data are available, we should plan an evaluation using the assumptions of the counterfactual framework (quasi-experimentation or causal inference).