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Calibration of complex models through Bayesian evidence synthesis
Decision-analytic models must often be informed using data that are only indirectly related to the main model parameters. The authors outline how to implement a Bayesian synthesis of diverse sources of evidence to calibrate the...
Markov models multiparameter evidence synthesis probabilistic sensitivity analysis simulation methods Algorithms Bayes Theorem Computer Simulation Cross-Sectional Studies Decision Support Techniques Female Human papillomavirus 16 Humans Markov Chains Models Statistical Papillomavirus Infections Probability Registries United Kingdom Uterine Cervical Neoplasms