I first received my BSc in Applied Economics at the University of Pavia (Italy) in 2012 and then graduated from my MSc in Statistics and Econometrics at the Univeristy of Essex (UK) in 2015. In 2019 I completed a PhD programme in Statistics at University College London, during which I also visited for a short period the Department of Statistics at University of Florida (USA). After completing my PhD, I worked as a research fellow at UCL until 2020 where I closely collaborated with people from both private industry and academia on different reaseach projects.
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, which I used to write the package missingHE, which is specifically aimed at handling missing data in trial-based economic evaluations using Bayesian methods. You can also find the most updated version of the package on my GitHub page. In addition, I do possess a good knowledge of other software such as STATA and MATLAB, and I am quite expert in the use of free open-source Bayesian software programs, such as OpenBUGS, JAGS and STAN.
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