My main research areas include Bayesian methodology, Bayesian parametric and nonparametric modelling, health economic evaluations, decision models, methods for handling missing data, meta-analysis and survival analysis.
- My personal webpage
- My personal blog
- UM Methodology and Statistics department
- UCL Stats department website
- Health Economics Analysis and Research Methods Team (HEART) blog
See here
- Collaborations
- Michael J. Daniels. Department of Statistics (University of Florida)
- Gianluca Baio. Department of Statistical Science (UCL)
- Rachael Hunter. Department of Primary Care and Population Health (UCL)
- Alexina J. Mason. Department of Health Services Research and Policy (LSHTM)
- Andrea Manca. Centre for Health Economics (University of York)
Some of the papers published through projects
- Gabrio, A. Daniels, MJ. and Baio, G. 2020. A Bayesian parametric approach to handle missing longitudinal outcome data in trial‐based health economic evaluations. Journal of the Royal Statistical Society: Series A 183(2): 607-629
- Gabrio, A. Baio, G. and Manca, A. 2019. Bayesian Statistical Economic Evaluation Methods for Health Technology Assessment. Oxford Research Encyclopedia of Economics and Finance
- Gabrio, A. Mason, JM. and Baio, G. 2019. A full Bayesian model to handle structural ones and missingness in economic evaluations from individual‐level data. Statistics in Medicine 38(8): 1399-1420
- Gabrio, A., Mason, JM. and Baio, G. 2017. Handling Missing Data in Within-Trial Cost-Effectiveness Analysis: a Review with Future Recommendations. PharmacoEconomics-Open 1(2): 79-97
Some Bayesian software code used to implement the models in my projects
- STAN code for modelling of structural values in patient level partitioned survival cost utility analysis
- JAGS code for joint longitudinal models in economic evaluations when dealing with missing data
- JAGS code for joint model of volleyball match results
- JAGS code for bivariate Beta-Gamma missing data model with an hurdle approach to handle structural ones in the effectiveness
- JAGS code for longitudinal bivariate Beta-LogNormal pattern mixture model with an hurdle approach to handle structural ones and zeros in the effectiveness and costs
- Some tutorials on writing and fitting Bayesian models using R and JAGS, OpenBUGS or STAN
- MissingHE R package to fit different types of Bayesian models for handling missing data in health economic evaluations