Resources Repository
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Resource PackPublication, Teaching Resource 2018Resource Pack: Model Calibration and Validation
This resource pack, curated by the Center for Health Decision Science, provides broad exposure to …
This resource pack, curated by the Center for Health Decision Science, provides broad exposure to empirical calibration and validation methods for mathematical models used in health decision analysis. Included are a selection of overviews, guidelines, tutorials, and applications. Given the complexity of diseases and variation in data quality, there are invariably a number of parameters that are unobserved or cannot be estimated directly but can be inferred through the process of model calibration. Model calibration…
Calibration/Validation | Dynamic Transmission | Mathematical Models | State-Transition | Microsimulation | Dynamic Simulation | Health/Medicine -
Resource PackPublication, Teaching Resource 2021Resource Pack: Risk, Economics, and Decisions
This resource pack, curated by the Center for Health Decision Science, includes articles from the …
This resource pack, curated by the Center for Health Decision Science, includes articles from the Risk Analysis special issue “Risk Assessment, Economic Evaluation, and Decisions” honoring Professor John Evans. The special issue was guest edited by CHDS’ Deputy Director Lisa A. Robinson and builds upon a 2019 workshop organized by Ms. Robinson and CHDS faculty James K. Hammitt. Articles include: James K. Hammitt, Lisa A. Robinson. Introduction to Special Issue on Risk Assessment,…
Risk Analysis | Decision Analysis | Policy/Regulation -
Resource PackPublication, Teaching Resource 2018Resource Pack: Models for Health Decision Science
This resource pack, curated by the Center for Health Decision Science, provides broad exposure to …
This resource pack, curated by the Center for Health Decision Science, provides broad exposure to mathematical models used in health decision science (e.g., microsimulation, dynamic transmission, agent-based, etc.). Resources include overviews, guidelines, tutorials, and applications relevant to a broad range of clinical and public health topics. A decision analytic approach relies on the use of a mathematical model to formally structure the components of the decision over time. Models are particularly useful when multiple data sources…
Dynamic Transmission | Mathematical Models | State-Transition | Microsimulation | Dynamic Simulation | Climate/Environment | Economics/Finance | Health/Medicine | Science/Technology -
Tutorial/PrimerPublication, Teaching Resource 2017Guide to Regulatory Impact Analysis
Regulatory impact analyses (RIAs) weigh the benefits of regulations against the burdens they impose and …
Regulatory impact analyses (RIAs) weigh the benefits of regulations against the burdens they impose and are invaluable tools for informing decision makers. The Consumer’s Guide to Regulatory Impact Analysis: Ten Tips for Being an Informed Policymaker offers 10 tips for non-specialist policymakers and interested stakeholders who will be reading RIAs as consumers.
Risk Analysis | Benefit-Cost Analysis | Government/Law | Global -
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 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