Current and recent research

I lead the research group Statistics for Health Economic Evaluation at UCL and my research is a blend of methodological and applied work. My main areas of interests are statistical modelling for health economic evaluation, causal inference from non-experimental data and Bayesian modelling in general.

Evidence of bias in the Eurovision song contest: modelling the votes using Bayesian hierarchical models

Evidence of bias in the Eurovision song contest: modelling the votes using Bayesian hierarchical models

With Marta Blangiardo

Bayesian computations for Value of Information measures using Gaussian processes, INLA and Moment Matching

Bayesian computations for Value of Information measures using Gaussian processes, INLA and Moment Matching

With Anna Heath and Ioanna Manolopoulou

Full Bayesian methods to handle missing data in health economic evaluations

Full Bayesian methods to handle missing data in health economic evaluations

With Andrea Gabrio, Alexina Mason, Rachael Hunter and Xiaoxiao Ling

The Regression discontinuity design in epidemiology

The Regression discontinuity design in epidemiology

With Sara Geneletti, Aidan O’Keeffe, Sylvia Richardson, Linda Sharples, Irwin Nazareth, Federico Ricciardi and Mariam Adeleke

Health economic evaluation of HPV vaccination

Health economic evaluation of HPV vaccination

With Katrin Haeussler, Ardo van den Hout, Giampiero Favato, Francesco S Mennini and Alessandro Capone

Population adjustment with limited access to patient-level data

Population adjustment with limited access to patient-level data

Antonio Remiro-Azocar, Gianluca Baio and Anna Heath

A Bayesian hierarchical framework to evaluate policy effects through quasi-experimental designs

A Bayesian hierarchical framework to evaluate policy effects through quasi-experimental designs

With Marta Blangiardo, James Kirkbride, Sara Geneletti and Zejing Shao

Design and sample size calculations for trials based on the stepped wedge design

Design and sample size calculations for trials based on the stepped wedge design

With Rumana Omar, Gareth Ambler, Andrew Copas and Emma Beard

Bayesian Tree-Based Learners for Individualized Treatment Effects Estimation

Bayesian Tree-Based Learners for Individualized Treatment Effects Estimation

With Alberto Caron and Ioanna Manolopoulou

Bayesian survival modelling in health economic evaluation

Bayesian survival modelling in health economic evaluation

With Zhaojing Che

Advancing Psychiatric Mapping Translated into Innovations for Care: PsyMaptic-A

With James Kirkbride and Christina Ding

Bayesian hierarchical model for the prediction of football results

Bayesian hierarchical model for the prediction of football results

With Marta Blangiardo

A modelling framework for estimation of benefit using single arm clinical trials

A modelling framework for estimation of benefit using single arm clinical trials

With Anthony Hatswell and Nick Freemantle

Incidence, prevalence and burden of the disease of Polycystic Ovary Syndrome (PCOS)

With Christina Ding, Irene Petersen and Paul Hardiman

Full Bayesian methods to model utility measures using mixture of distributions

With Spyros Poulimenos and Jeff Round