Bayesian Cost-Effectiveness Analysis with the R package BCEA

Bayesian analysis in health economics.- Case studies.- BCEA - a R package for Bayesiancost-effectiveness analysis.- Probabilistic sensitivity analysis using BCEA.- BCEAweb: a user-friendly web-app to use BCEA.

Gianluca Baio graduated in Statistics and Economics from the University of Florence (Italy). After a period at the Program on the Pharmaceutical Industry at the MIT Sloan School of Management, Cambridge (USA), he completed a PhD programme in Applied Statistics, again at the University of Florence. He then worked as a research fellow and lecturer at the Department of Statistical Sciences at University College London (UK). Gianluca's main interests are in Bayesian statistical modelling for cost effectiveness analysis and decision-making problems in health systems; hierarchical/multilevel models; and causal inference using the decision-theoretic approach. Gianluca leads the Statistics for Health Economic Evaluation research group at the Department of Statistical Science.

Andrea Berardi graduated in Biostatistics and Experimental Statistics from the University of Milano-Bicocca (Italy) and is a senior consultant at the Health Economics Modelling Unit at PAREXEL. He has experience both as a consultant for world-leading pharmaceutical companies and as health economics lead of the critical appraisal of NICE submissions as part of the BMJ Technology Assessment Group. Andrea's experience of conducting and reviewing health economics analyses spans numerous and diverse disease areas. His main interests are the analysis of uncertainty and survival in health economics modelling.

Anna Heath is a PhD student at the Department of Statistical Science at University College London. She is currently working on calculation methods for value of information measures in health economic evaluations. Her work on the expected value of partial perfect information (EVPPI) is integrated into BCEA.