Structural and parameter uncertainty in Bayesian cost-effectiveness models
β Scribed by Christopher H. Jackson; Linda D. Sharples; Simon G. Thompson
- Book ID
- 111039311
- Publisher
- John Wiley and Sons
- Year
- 2010
- Tongue
- English
- Weight
- 790 KB
- Volume
- 59
- Category
- Article
- ISSN
- 0035-9254
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## Abstract This paper demonstrates the usefulness of combining simulation with Bayesian estimation methods in analysis of costβeffectiveness data collected alongside a clinical trial. Specifically, we use Markov Chain Monte Carlo (MCMC) to estimate a system of generalized linear models relating co
Mathematical models are of widespread usage for simulating process behavior, designing new processes and equipment and, in a more general sense, decision making. However, as model parameters are uncertain, due to model inaccuracies and experimental errors, all model results are subject to uncertaint