Bayesian Methods in Health Economics Chapman & Hall/CRC Biostatistics Series
Auteur : Baio Gianluca
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.
Introduction to Health Economic Evaluation. Introduction to Bayesian Inference. Statistical Cost-Effectiveness Analysis. Bayesian Analysis in Practice. Health Economic Evaluation in Practice.
Gianluca Baio
Date de parution : 01-2023
15.6x23.4 cm
Date de parution : 11-2012
15.6x23.4 cm
Thèmes de Bayesian Methods in Health Economics :
Mots-clés :
MCMC Procedure; Posterior Distribution; WinBUGS; Health Economic Evaluation; Cost Effectiveness Analysis; Prior Distribution; Bayesian Inference; MCMC Simulation; Health Economics; CEAC; Random Quantities; Potential Scale Reduction Factor; MCMC Iteration; Option DIC; Utility Score; Monetary Units; De Finetti; Economic Evaluations; Evidence Synthesis; Additional QALY; Bugs Model; Logit Scale; Predictive Distribution; Decision Analytical Model; Bayes Theorem; Gelman Rubin Statistic; SF-36 Questionnaire; Transition Probabilities; Effective Sample Size
