Biography

Research Interests

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. Within the health economic framework, my research interest extends to the analysis of longitudinal data using different types of statistical methods to deal with missingness in a principled way. I have also worked in collaboration with professor Michael J. Daniels during a short-term visiting period at the University of Florida (US) on a research project to explore the impact of alternative missing data assumptions in longitudinal studies.

I have collaborated with the Statistics for Health Economic Evaluation research group within the department of Statistical Science, 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 (HEART) in the Institute for Clinical Trials and Methodology (ICTM) at UCL, working primarily with Priment Clinical Trials Unit (CTU). 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.