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

UCL Hypot-enthused podcast

Gianluca Baio, Marta Blangiardo

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

   

Gianluca Baio, Anna Heath, Ioanna Manolopoulou

Bayesian modelling of excessive mortality due to the Covid-19 pandemic

Gianluca Baio, Marta Blangiardo, Monica Pirani, Michela Cameletti, Garyfallos Konstantinoudis, Virgilio Gomez Rubio

Full Bayesian methods to handle missing data in health economic evaluations

GitHub repo:

Gianluca Baio, Andrea Gabrio, Alexina Mason, Xiaoxiao Ling

The Regression discontinuity design in epidemiology
Gianluca Baio, Sara Geneletti, Aidan O’Keeffee, Sylvia Richardson, Linda Sharples, Irwin Nazareth, Federico Ricciardi, Mariam Adeleke

Bayesian survival modelling in health economic evaluation

Gianluca Baio, Zhaojing Che (1), Nathan Green (1), Luke Hardcastle (2), Sam Livingstone (2)

Health economic evaluation of HPV vaccination
Gianluca Baio, Katrin Haeussler, Ardo van den Hout

A Bayesian hierarchical framework to evaluate policy effects through quasi-experimental designs
Gianluca Baio, Marta Blangiardo, Sara Geneletti, James Kirkbride, Zejing Shao, Connor Gascoigne, Annie Jeffery, Xuewen Yu

Population adjustment with limited access to patient-level data
Gianluca Baio, Antonio Remiro-Azocar, Anna Heath, Chengyang Gao

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

 

Gianluca Baio, Rumana Omar, Gareth Ambler, Andrew Copas

Bayesian Tree-Based Learners for Individualized Treatment Effects Estimation
Gianluca Baio, Alberto Caron, Ioanna Manolopoulou

Bayesian hierarchical model for the prediction of football results
Gianluca Baio, Marta Blangiardo
 
Incidence, prevalence and burden of the disease of Polycystic Ovary Syndrome (PCOS)
Gianluca Baio, Christina Ding, Irene Petersen, Paul Hardiman
 
Advancing Psychiatric Mapping Translated into Innovations for Care: PsyMaptic-A

Gianluca Baio, James Kirkbride, Christina Ding

A modelling framework for estimation of benefit using single arm clinical trials
Gianluca Baio, Anthony Hatswell, Nick Freemantle
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