Bayesian Methods in Health Technology Assessment (en Inglés) - Gianluca Baio

Bayesian models in Health Techonology Assessment aims at presented a thorough and yet accessible description of the philosophy underlying the Bayesian approach to statistical inference, as specifically applied to the process of health technology assessment (HTA). The book is grounded in practical examples, mostly taken from the HTA context and covering a wide range of real problems, typically encountered by modellers in their day-to-day work. All the chapters present methodological details, as well as carefully curated R and JAGS code, which can be used as a template to unlock the potential of Bayesian modelling, specifically in HTA.

The text is primarly for modellers and practioners working in the HTA context, regulators and reviewers of reimbursement dossiers and cost-effectiveness analysis. More generally, it aims at drawing the attention of researchers whose background is firmly statistical onto the interesting and high impactful are of HTA. It complements a wide range of undergraduate and graduate programmes in health technology assessment, health and public health economics, as well as academic researchers in the field of statistical modelling for health technology assessment.