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Bayesian Methods in Health Economics

Gianluca Baio
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A01=Gianluca Baio
Additional QALY
advanced quantitative methods
Author_Gianluca Baio
Bayes Theorem
Bayesian cost-effectiveness modeling applications
Bayesian Inference
Bugs Model
Category=KCVJ
Category=PBT
CEAC
clinical trial analysis
Cost Effectiveness Analysis
data
De Finetti
Decision Analytical Model
distribution
distributions
Economic Evaluations
Effective Sample Size
eq_bestseller
eq_business-finance-law
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
evaluation
Evidence Synthesis
Gelman Rubin Statistic
generation
Health Economic Evaluation
Health Economics
hierarchical Bayesian models
Logit Scale
Markov decision process
MCMC Iteration
MCMC Procedure
MCMC Simulation
Monetary Units
Option DIC
posterior
Posterior Distribution
Potential Scale Reduction Factor
predictive
Predictive Distribution
prior
Prior Distribution
probabilistic modeling
quantities
random
Random Quantities
SF-36 Questionnaire
statistical programming JAGS
Transition Probabilities
Utility Score
WinBUGS

Product details

  • ISBN 9781439895559
  • Weight: 620g
  • Dimensions: 156 x 234mm
  • Publication Date: 12 Nov 2012
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
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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.

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