Baio Bayesian Methods in Health Economics

Erscheinungsjahr 2013
ISBN: 978-1-4398-9556-6
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 244 Seiten

Reihe: Chapman & Hall/CRC Biostatistics Series

Health economics is concerned with the study of the cost-effectiveness of health care interventions. This book provides an overview of Bayesian methods for the analysis of health economic data. After an introduction to the basic economic concepts and methods of evaluation, it presents Bayesian statistics using accessible mathematics. The next chapters describe the theory and practice of cost-effectiveness analysis from a statistical viewpoint, and Bayesian computation, notably MCMC. The final chapter presents three detailed case studies covering cost-effectiveness analyses using individual data from clinical trials, evidence synthesis and hierarchical models and Markov models. The text uses WinBUGS and JAGS with datasets and code available online.

Zielgruppe

Researchers and postgraduate students from biostatistics, clinical research, and the pharmaceutical industry.

Autoren/Hrsg.

Baio, Gianluca

Fachgebiete

• Wirtschaftswissenschaften Wirtschaftssektoren & Branchen Gesundheitswirtschaft
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Public Health, Gesundheitsmanagement, Gesundheitsökonomie, Gesundheitspolitik
• Wirtschaftswissenschaften Volkswirtschaftslehre Gesundheitsökonomie

Inhaltsverzeichnis

Introduction to Health Economic Evaluation
Introduction
Health economic evaluation
Cost components
Outcomes
Discounting
Types of economic evaluations
Comparing health interventions

Introduction to Bayesian Inference
Introduction
Subjective probability and Bayes theorem
Bayesian (parametric) modelling
Choosing prior distributions and Bayesian computation

Statistical Cost-Effectiveness Analysis
Introduction
Decision theory and expected utility
Decision-making in health economics
Probabilistic sensitivity analysis to parameter uncertainty
Reporting the results of probabilistic sensitivity analysis
Probabilistic sensitivity analysis to structural uncertainty
Advanced issues in cost-effectiveness analysis

Bayesian Analysis in Practice
Introduction
Software configuration
An Example of analysis in JAGS/BUGS
Logical nodes
For loops and node transformations
Predictive distributions
Modelling the cost-effectiveness of a new chemotherapy drug in R/JAGS

Health Economic Evaluation in Practice
Cost-effectiveness analysis alongside clinical trials
Evidence synthesis and hierarchical models
Markov models