Lectures and seminars SFOepi Seminar Series in Biostatistics: Gianluca Baio, University College London
Welcome to attend a seminar jointly hosted by the SFOepi Seminar Series in Biostatistics, the KI Health Economics Network and the VR Environment Grant "Statistical Methods for Register-Based Research"
Speaker: Gianluca Baio, University College London, United Kingdom
Please note that this event is not filmed nor streamed – only participation in person.
Abstract
In this talk, I will discuss the main aspects of Bayesian statistical modelling as applied to various components of the health technology assessment process. I will discuss methods for individual level- vs aggregated-level data and I will explore links to advanced tools, such as those related to the value of information analysis.
About the speaker
Gianluca Baio is a Professor of Statistics and Health Economics in the Department of Statistical Science at University College London (UK). Gianluca graduated in Statistics and Economics from the University of Florence (Italy). He then completed a PhD programme in Applied Statistics again at the University of Florence, after a period at the Program on the Pharmaceutical Industry at the MIT Sloan School of Management, Cambridge, MA (US); he then worked as a Research Fellow and then Lecturer in the Department of Statistical Science at University College London (UK). Gianluca's main interests are in Bayesian statistical modelling for cost effectiveness analysis and decision-making problems in the health systems, hierarchical/multilevel models and causal inference using the decision-theoretic approach. Gianluca leads the Statistics for Health Economic Evaluation research group within the department of Statistical Science and was the co-director of UCL MSc Programme in Health Economics and Decision Science. His research activity is now (almost) officially dead, since he has become the head of the department of Statistical Science at UCL, in 2021.
Registration: No registration is needed
If you have any questions, please contact Marie Jansson at marie.jansson@ki.se
