Bayesian Methods in Health Economics

Health economics is concerned with the study of the cost-effectiveness of health care interventions, and this book provides an overview of Bayesian methods for the analysis of health economic data. It covers theory, practice, and three detailed case studies using WinBUGS and JAGS with datasets and code available online.

Format: Paperback / softback
Length: 244 pages
Publication date: 21 January 2023
Publisher: Taylor & Francis Ltd

Health economics is a field of study that focuses on analyzing the cost-effectiveness of healthcare interventions. This comprehensive book offers a thorough overview of Bayesian methods for analyzing health economic data. It begins by introducing fundamental economic concepts and evaluation methodologies, before delving into Bayesian statistics using accessible mathematics. The subsequent chapters explore the theory and practical application of cost-effectiveness analysis from a statistical perspective, including Bayesian computation methods such as Markov models and Monte Carlo simulation (MCMC).

The final chapter presents three detailed case studies that demonstrate the application of these methods in real-world scenarios. These case studies involve cost-effectiveness analyses utilizing individual data from clinical trials, evidence synthesis, hierarchical models, and Markov models. The text utilizes software tools such as WinBUGS and JAGS, along with datasets and code that are readily available online for further exploration and analysis.

By employing Bayesian methods, health economists can gain a deeper understanding of the economic implications of healthcare interventions, enabling them to make informed decisions about resource allocation and policy development. This book serves as a valuable resource for researchers, practitioners, and policymakers interested in improving the efficiency and effectiveness of healthcare systems.

Weight: 450g
Dimension: 234 x 156 (mm)
ISBN-13: 9781032477534