1 Introduction to Bayesian reasoning
2 Learning from data: Bayesian computation
3 Bayesian software
4 Introduction to health technology assessment
5 Cost-effectiveness analysis with individual level data
6 Aggregated level data and evidence synthesis
7 Indirect treatment comparisons
8 Survival analysis in HTA
9 Markov models
10 Missing data and “structural values” in HTA
11 Population adjustment
12 Value of information
Biography
Gianluca Baio is Professor of Statistics and Health Economics in the Department of Statistical Science at University College London (UK). Prof. Baio'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. Prof. Baio 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. He is a founding member and former Scientific co-Director of the R-HTA consortium (https://r-hta.org/) and a founding member of the ConVOI (https://www.convoi-group.org/) network. He also served as Secretary (2014-2016) and then Programme Chair (2016-2018) in the Section on Biostatistics and Pharmaceutical Statistics of the International Society for Bayesian Analysis. He collaborates with the UK National Institute for Health and Care Excellence (NICE) as a Scientific Advisor on Health Technology Appraisal projects and has been the 18th Armitage Lecturer in November 2021. His research activity is now (almost) officially dead, since he has become the head of the Department of Statistical Science at UCL, in 2021.
