Name: Andrea Gabrio
Type: User
Company: Maastricht University
Bio: My main areas of interest in research include Health Economic Evaluations, Bayesian statistics and methodology for handling missing data
Location: Maastricht
Blog: https://agabrioblog.onrender.com/
Andrea Gabrio's Projects
Personal website of Andrea Gabrio
My website
Bayesian Cost Effectiveness Analysis. Given the results of a Bayesian model (possibly based on MCMC) in the form of simulations from the posterior distributions of suitable variables of costs and clinical benefits for two or more interventions, produces a health economic evaluation. Compares one of the interventions (the "reference") to the others ("comparators"). Produces many summary and plots to analyse the results
A selection of some R, BUGS and STAN code used in my research
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A brief description of my interests, projects and collaborations
Health economic evaluations from individual level data with missing values using a set of pre-defined Bayesian models written in BUGS. A series of parametric models are available to jointly model partially-observed effectiveness and cost outcomes under both ignorable and nonignroable missing data mechanism assumptions
This repository has some of the papers that I have contributed to.
How to conduct a trial-based economic evaluation using R: A Tutorial
Short course on Bayesian methods for addressing missing data in health economic evaluations
A short course on Bayesian methods for longitudinal data
Website for advice on data analysis from FPN and FHML statisticians
Some presentations I gave about my work