Research

I am a member of the research groups Statistics for Health Economic Evaluation and Health Economics Analysis and Research Methods Team at UCL, working on both methodological and applied projects. My main areas of interests are statistical modelling for missing data, statistical methods applied to health economic evaluations, and Bayesian modelling in general.

Linear mixed models to handle missing at random data in trial based economic evaluations

With Catrin Plumpton and Sube Banerjee and Baptiste Leurent

Bayesian Modelling for Partitioned Survival CUA

Modelling Framework we extend the current methods for modelling trial-based partitioned survival cost-utility data, taking advantage of the flexibility of the Bayesian approach, and specify a joint probabilistic model for the health economic outcomes.

Joint Longitudinal Models for Dealing With Missing at Random Data in Trial-Based Economic Evaluations

With Rachael Hunter and Alexina Mason and Gianluca Baio

Bayesian Hierarchical Models for the Prediction of Volleyball Results

Modelling Framework We extend and adapt the modelling frameworks typically used for the analysis of football data and propose a novel Bayesian hierarchical modelling framework for the analysis and prediction of volleyball results in regular seasons.

missingHE

An R package to handle missingness in health economic evaluations