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Bayesian Methods in Health Economics

By Gianluca Baio

Chapman and Hall/CRC – 2012 – 243 pages

Series: Chapman & Hall/CRC Biostatistics Series

Purchasing Options:

  • Add to CartHardback: $93.95
    978-1-43-989555-9
    November 11th 2012

Description

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.

Reviews

"This book is apparently the first book devoted to Bayesian statistical methods in health economics, which is a relatively new discipline. … suitable for researchers and practitioners who want to learn and apply statistical methods to health economics. Also it can be a good text for graduate courses in statistical analysis of health economic data. The author tries to keep mathematics at a low level and provides many interesting figures and tables for readers with weak mathematical/statistical background. He provides step-by-step guidance to practical application of the Bayesian methods by using popular statistical software R and BUGS/JAGS. This would be very attractive to practitioners for they can easily implement Monte Carlo simulation methods necessary for Bayesian inference without fear."

—Man-Suk Oh, Biometrics, March 2014

Contents

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

Name: Bayesian Methods in Health Economics (Hardback)Chapman and Hall/CRC 
Description: By Gianluca Baio. 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...
Categories: Risk Assessment, Statistical Computing, Medical Statistics & Computing