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 2015Educational Review of the Statistical Issues in Utility Data for CEA
The aim of cost-utility analysis is to support decision making in healthcare by providing a …
The aim of cost-utility analysis is to support decision making in healthcare by providing a standardized mechanism for comparing resource use and health outcomes across programmes of work. The focus of this review is the denominator of the cost-utility analysis, specifically the methodology and statistical challenges associated with calculating QALYs from patient-level data collected as part of a trial. The authors provide a brief description of the most common questionnaire used to calculate patient level…
Preferences/Values | Health Outcomes | Cost-Effectiveness Analysis | 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 -
Tutorial/PrimerPublication, Teaching Resource 1994Decision Theory: A Brief Introduction
Decision theory is theory about decisions. The subject is not a very unified one. To …
Decision theory is theory about decisions. The subject is not a very unified one. To the contrary, there are many different ways to theorize about decisions, and therefore also many different research traditions. This text attempts to reflect some of the diversity of the subject. This text, by Sven Ove Hansson, is a non-technical overview of modern decision theory. Its emphasis lies on the less (mathematically) technical aspects of decision theory. It is intended for university students…
Preferences/Values | Decision Theory | Economics/Finance | Graduate | Doctoral | Critical Thinking/Analysis | Quantitative Literacy