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Andrea Gabrio

Assistant Professor


Department of Methodology and Statistics, Maastricht University (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.

I am a member of the Statistics for Health Economic Evaluation research group in the Department of Statistical Science at UCL, where I collaborate with academics from different institutions with the common objective to provide advice to statisticians, health economists and clinicians working in economic evaluations. I am also a member of 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.

Education

PhD in Statistics University College London (UK) 2019
MSc in Statistics and Econometrics University of Essex (UK) 2015
MSc in Applied Economics University of Pavia (Italy) 2014
BSc in Economics University of Pavia (Italy) 2012

Interests

  • Missing Data
  • Bayesian Statistics
  • Health Economics
  • Longitudinal Data
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