Presentations

Interplay between Applied Biostatistics and Public Health in Humanitarian Settings, at Germany, 70th Biometric Colloquium (International Biostatistics Association), Friday, March 1, 2024:

Biometrical work in resource-constraint settings comes with several challenges, for example with respect to using the right techniques to evaluate the feasibility of interventions, but also in terms of engaging with local partners. I would like to share various empirical examples where advanced biostatistical methods were essential to answering complex population-based research questions in resource constrain settings and humanitarian settings. First, we will share the “club of patients” research project where we used inverse probability weighting of marginal structural models to...

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Targeted Maximum likelihood Estimation for Causal Inference , at Instituto de Matemáticas de la Universidad de Granada, Granada, Spain, Friday, March 31, 2023:

Conferencia del Ciclo «Estadística y Ciencia de Datos Patricia Román», imaprtida por Miguel Ángel Luque Fernández (Dpto. de Estadística e Investigación Operativa, UGR /London School of Hygiene and Tropical Medicine)

https://canal.ugr.es/evento/conferencia-ensemble-learning-targeted-...

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The Delta-Method and Influence Function in Medical Statistics: a Reproducible Tutorial, at London School of Hygiene and Tropical Medicine, Friday, May 27, 2022:
\(\)Approximate statistical inference via determination of the asymptotic distribution of a statistic is routinely used for inference in applied medical statistics (e.g. to estimate the standard error of the marginal or conditional risk ratio). One method for variance estimation is the classical Delta-method but there is a knowledge gap as this method is not routinely included in training for applied medical statistics and its uses are not widely...
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Paradoxical collider effect in the analysis of non-communicable disease epidemiological data: a reproducible illustration and web application, at Oviedo, Spain, Friday, September 6, 2019:
Classical epidemiology has focused on the control of confounding, but it is only recently that epidemiologists have started to focus on the bias produced by colliders. A collider for a certain pair of variables (e.g. an outcome Y and an exposure A) is a third variable (C) that is caused by both. In a directed acyclic graph (DAG), a collider is the variable in the middle of an inverted fork (i.e. the variable C in A → C ← Y). Controlling for, or conditioning an analysis on a collider (i.e. through stratification or regression) can introduce a spurious association between its causes. This... Read more about Paradoxical collider effect in the analysis of non-communicable disease epidemiological data: a reproducible illustration and web application
Ensemble Learning Targeted Maximum Likelihood Estimation for Stata Users (invited talk), at Pompeu Fabra University, Barcelona, Spain (Spanish Stata Users Meeting, 2018), Wednesday, October 24, 2018:

eltmle is a Stata program implementing the targeted maximum likelihood estimation (TMLE) for the ATE for a binary or continuous outcome and binary treatment. eltmle includes the use of a super-learner called from the SuperLearner package v.2.0-21 (Polley E., et al. 2011). Modern Epidemiology has been able to identify significant limitations of classic epidemiological methods, like outcome regression analysis, when estimating causal quantities such as the average treatment effect (ATE) for observational data. For...

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Cross-validated Area Under the ROC curve for Stata users: cvauroc (invited talk), at Pompeu Fabra University, Barcelona, Spain (Spanish Stata Users Meeting, 2018), Wednesday, October 24, 2018:

Receiver operating characteristic (ROC) analysis is used for comparing predictive models, both in model selection and model evaluation. This method is often applied in clinical medicine and social science to assess the trade-off between model sensitivity and specificity. After fitting a binary logistic regression model with a set of independent variables, the predictive performance of this set of variables - as assessed by the area under the curve (AUC) from a ROC curve - must be estimated for a sample (the 'test' sample) that is independent of the sample used...

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Pattern of comorbidities among Colorectal Cancer Patients and impact on treatment and short-term survival, at Copenhange, Denmark (European Network of Cancer Registries: Conference), Friday, September 28, 2018:

 

Background: Colorectal cancer (CRC) is the most frequently diagnosed cancer in Spain in both sexes with 41,441 new cases in 2015. There is little evidence regarding the pattern and impact of comorbidities on time from cancer diagnosis to surgical treatment and short-term mortality among CRC patients in Spain.

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

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