Resources Repository
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Tutorial/PrimerPublication, Teaching Resource 2017Bayesian Methods for Calibrating Health Policy Models: A Tutorial
This article provides a tutorial on Bayesian approaches for model calibration. It describes the theoretical …
This article provides a tutorial on Bayesian approaches for model calibration. It describes the theoretical basis for Bayesian calibration approaches as well as pragmatic considerations that arise in the tasks of creating calibration targets, estimating the posterior distribution, and obtaining results to inform the policy decision. These considerations, as well as the specific steps for implementing the calibration, are described in the context of an extended worked example about the policy choice to provide (or…
Calibration/Validation | Infectious Diseases | Health/Medicine -
Tutorial/PrimerPublication, Teaching Resource 2016Distributional Cost-Effectiveness Analysis: A Tutorial
This tutorial explains distributional cost-effectiveness analysis as a framework for incorporating health inequality concerns into …
This tutorial explains distributional cost-effectiveness analysis as a framework for incorporating health inequality concerns into the economic evaluation of health sector interventions. Using an illustrative example comparing alternative ways of implementing the National Health Service (NHS) Bowel Cancer Screening Programme the authors describe the technical details of how to conduct distributional cost-effectiveness analysis. The 2 key stages are 1) modeling social distributions of health associated with different interventions, and 2) evaluating social distributions of health…
Cost-Effectiveness Analysis | Chronic Disease/Risk | Priority Setting/Ethics | Europe -
Tutorial/PrimerPublication, Teaching Resource 2015Calibration of Complex Models through Bayesian Evidence Synthesis: A Tutorial
This tutorial demonstrates how to implement a Bayesian synthesis of diverse sources of evidence to …
This tutorial demonstrates how to implement a Bayesian synthesis of diverse sources of evidence to calibrate the parameters of a complex model. To illustrate these methods, the authors demonstrate how a previously developed Markov model for the progression of human papillomavirus (HPV-16) infection was rebuilt in a Bayesian framework. Transition probabilities between states of disease severity are inferred indirectly from cross-sectional observations of prevalence of HPV-16 and HPV-16–related disease by age, cervical cancer incidence, and…
Calibration/Validation | Infectious Diseases