Resources Repository
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Online LearningVideo, Teaching Resource 2021Reporting on COVID-19 Vaccines at the Intersection of Science and Politics
Journalists play a vital role in communicating to the public about COVID-19 vaccines, and currently …
Journalists play a vital role in communicating to the public about COVID-19 vaccines, and currently under challenging circumstances. The science surrounding COVID-19 is rapidly changing, vaccines have been developed at “warp speed” using a new approach, and misinformation is on the rise. Moreover, current and historical injustices and inequities, as well as heightened political polarization, affect what information is consumed, trusted, and acted upon. This webinar offers an opportunity for members of the media to…
Decision Psychology | Infectious Diseases | Preferences/Values | Social Determinants | Policy/Regulation | Culture/Society | Health/Medicine | Science/Technology | North America -
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