Assistant Professor in Statistics
Department of Methodology and Statistics
Faculty of Health Medicine and Life Sciences
Maastricht University
Biography
I am an assistant professor in Statistics in the Department of methodology and statistics of the Faculty of Health Medicine and Life Sciences at Maastricht University in the Netherlands.
My main interests are in Bayesian statistical modelling for cost-effectiveness analysis and decision-making problems in the health systems. During my PhD I have specifically focused on the study and adoption of Bayesian methods to handle missing data in health economic evaluations and to assess the impact of their uncertainty on the output of the decision-making process. My research area involves different topics: from systematic literature reviews, case study applications, survival analysis, meta-analytic methods, multilevel models and trial-based clinical and economic analyses.
Research and Work
I am very interested in the analysis of longitudinal data, with a focus on different types of statistical methods to deal with missingness. My preferred statistical programming software and the one I am most familiar with is R/RStudio by far, but I do also possess a good knowledge of other software such as STATA and MATLAB. I am quite expert in the use of free open-source Bayesian software programs, such as JAGS and Stan.
I have collaborated with the Statistics for Health Economic Evaluation research group in the Department of Statistical Science at UCL, which is mainly focused on the development and application of Bayesian methods for health economic evaluations. The group works in collaboration with academics from different institutions and its activities are aimed at providing advice to statisticians, health economists and clinicians working in economic evaluations.
I have also collaborated with the Health Economics Analysis and Research methodology Team in the Institute for Clinical Trials and Methodology at UCL, working primarily with the members of the Priment Clinical Trials Unit. The group focuses on the development of methodological tools for the analysis of the economic components in randomised control trials across a wide range of clinical areas and is formed by a group of interdisciplinary and varied experience.
Interests
Missing Data
Bayesian Statistics
Health Economics
Longitudinal Data
Statistical Methods for Health and Medical Data
Education
- PhD in Statistics, 2019
- University College London (UK)
- MSc in Statistics and Econometrics, 2015
- University of Essex (UK)
- MSc in Applied Economics, 2014
- University of Pavia (Italy)
- BSc in Economics, 2012
- University of Pavia (Italy)
Contact
a.gabrio@maastrichtuniversity.nl
+31 (0)43 38 82395
Peter Debeyeplein 1 (first floor), Maastricht, NL 6229 HA