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 -
Lesson/ModuleWeb Portal, Teaching Resource 2017Translating Science Into Policy: The Role of Decision Science
This module introduces the basic techniques of “decision science” that are used in policy making. …
This module introduces the basic techniques of “decision science” that are used in policy making. The materials are mainly prescriptive, focusing on how to make good decisions, but also include examples of the systematic ways that people make poor decisions. The module: (1) surveys the meanings of utility; (2) examines decision making in conditions where risk is not an issue; (3) examines decision making in conditions where risk is an issue because the likelihood of…
Decision Psychology | Infectious Diseases | Preferences/Values | Decision Analysis | Policy/Regulation | Government/Law | Health/Medicine | Science/Technology | Global | North America | College | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Decision Making/Leadership | Policy Translation -
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