Talks and other works

Talks, Conferences and Presentations

• MissingHE: An R package to handle missing data in trial-based health economic evaluations. Department of Methodology and Statistics, FHML, Maastricht University, Colloquium Meeting, Maastricht, 2024. Presentation.

• Linear mixed models to handle missing at random data in trial-based economic evaluations. Erasmus University Rotterdam, Rotterdam, 2023. Presentation.

• Bayesian methods for missingness in HTA. King’s Health Economics seminar, Health Service and Population Research Department, King’s College London, London, 2022. Presentation.

• Health economic decision model for a school-based relationship and sexuality education intervention in the UK. PRIMENT CTU Statistics, Health Economics and Methodology Seminar 2022, London, 2022. Presentation.

• Bayesian methods for dealing with missing data in health technology assessment. Research seminar HTA, Faculty of Science, Health Economics and Health Technology Assessment, Vrije Universiteit Amsterdam, 2022. Presentation.

• MissingHE: An R package to handle individual-level missing data in trial based health economic evaluations. Trinity College Dublin, R-HTA summer workshop (online) 2021, Dublin, 2021. Presentation.

• Handling missing values in individual-level cost-effectiveness analyses. Department of Methodology and Statistics, FHML, Maastricht University, Colloquium Meeting, Maastricht, 2021. Presentation.

• Choosing the Missing Data Method in Trial-Based Economic Evaluations. How to Make the Right Choice ?, PRIMENT CTU Statistics, Health Economics and Methodology Seminar 2020, London, 2020. Presentation.

• MissingHE: An R package to deal with missing data in trial based health economic evaluations, PRIMENT CTU Methodologists’ seminar 2019, London, 2019. Presentation. 

• A Bayesian Parametric Approach to Handle Missing Longitudinal Outcome Data in Trial-Based Health Economic Evaluations, International Society for Pharmacoeconomics and Outcomes Research (ISPOR) Europe 2019  (ISPOR Europe), Copenhagen, 2019. Poster. 

• A Bayesian Parametric Approach to Handle Missing Longitudinal Outcome Data in Trial-Based Health Economic Evaluations, 5th International Clinical Trials Methodology Conference (ICTMC), Brighton, 2019. Presentation. 

• Adjusting for partially-observed utilities and costs in trial-based cost-effectiveness analysis: a comparison of different methods and their performance, Health Economic Study Group (HESG), Norwich, 2019. Presentation.

• A Bayesian Parametric Approach to Handle Nonignorable Missingness in Economic Evaluations. PRIMENT CTU, UCL, Statistics, Health Economics and Methodology Seminar, London, 2018. Presentation.

• A Full Bayesian Model to Handle Structural Ones and Missingness in Health Economic Evaluations from Individual-Level Data. UCL Health Economic Symposium, London (UK), 2018. Poster and Presentation.

• Handling Missing Data in Within-Trial Cost-Effectiveness Analysis: a Review with Future Recommendations. Third PhD student-supervisor conference (EuHEA), Barcelona (ES), 2016. Poster. 

• Attendant at Bayes2016, Leuven (BE), 2016.

Workshops

• Understanding Health Economics in Clinical Trials. Institute of Clinical Trials and Methodology, University College London, London (UK), 2019-2020

• XXXIV Jornadas de Economia de la salud, Pre -Conference Workshop: "Methods for addressing missing data in health economic evaluation", Albacete (ES), 2019.

R Packages

• MissingHE is aimed at providing some useful tools to analysts in order to handle missingness under a Full Bayesian framework in economic evaluations. The package relies on the Bayesian software JAGS to perform inferences using MCMC under a range of missing data mechanism assumptions. The package also contains functions specifically defined to assess issues in model convergence and to summarise the economic results. The package is available both on CRAN and on my GiHub page.

Personal Website

• I also have a personal website and blog, which I try to keep routinely updated, where I post my opinions on different research-related topics, mostly concerning statistics, health economics, and missing data. The blog has been created and updated using Quarto, an open-source scientific and technical publishing system. The blog is aimed at people working in academia, with particular use of the R package blogdown (developed by Yihui Xie) to facilitate the creation of websites using Quarto and the file format for dynamic documents called R Markdown.