Resources Repository
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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…
Decision Theory | Preferences/Values | Economics/Finance | Graduate | Doctoral | Critical Thinking/Analysis | Quantitative Literacy -
Resource PackPublication, Teaching Resource 2023Resource Pack: Diagnostic Tests, Bayes, and COVID-19
This resource pack provides a curated set of articles, perspectives, and interactives about diagnostic testing …
This resource pack provides a curated set of articles, perspectives, and interactives about diagnostic testing for COVID-19. The pack provides materials that will be particularly useful for educators who are teaching diagnostic test performance, value of information, and probability revision using Bayes’ theorem. The majority of papers focus on PCR or rapid antigen testing on samples obtained from the respiratory tract by nasopharyngeal swab. The mechanism of false negative results (e.g., timing of sample collection…
Probability/Bayes | Test Performance | Value of Information | Decision Analysis | Health/Medicine | Science/Technology | Global | High School | College | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Graphics/Visualization | Quantitative Literacy -
Tutorial/PrimerPublication, Teaching Resource 2024Tutorial: Building Decision Trees
This tutorial illustrates the basic steps needed to develop decision trees in Amua using a …
This tutorial illustrates the basic steps needed to develop decision trees in Amua using a disease screening example. It details the process of how to build the structure of a decision tree, parameterize the model with probabilities and relevant outcomes (i.e., life expectancy), evaluate three alternative screening strategies in a baseline scenario, and perform one-way sensitivity analyses to assess the robustness of the results to different parameter values. Amua, the Swahili word meaning “decide”/“solve”, is…
Probability/Bayes | Mathematical Models | Decision Analysis | Clinical Care | Health/Medicine | Graduate | Doctoral | Professional -
Resource PackWeb Portal, Teaching Resource 2023Resource Pack: Cost-Effectiveness of Screening and Treatment for Hypertension
Hypertension is a relevant example for teaching clinical decision making, diagnostic test performance, positivity criterion, …
Hypertension is a relevant example for teaching clinical decision making, diagnostic test performance, positivity criterion, and cost-effectiveness analysis. This resource pack provides examples of decision analyses and cost-effectiveness analyses for the management and treatment of hypertension, with a predominant focus on the U.S. Analyses are included that predate the 2017 American College of Cardiology/American Heart Association Clinical Practice Guidelines, along with more recent examples that followed release of the guidelines. Resources are also included that…
Preferences/Values | Test Performance | Decision Analysis | Cost-Effectiveness Analysis | Chronic Disease/Risk | Clinical Care | Economics/Finance | Health/Medicine | Science/Technology | North America | Europe | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Policy Translation | Quantitative Literacy -
ExerciseNone, Teaching Resource 2024Lab: Giant Cell Arteritis Decision Tree Model
This tutorial walks through the development of a decision tree model focused on Giant Cell …
This tutorial walks through the development of a decision tree model focused on Giant Cell Arteritis. It describes how to build the model structure, assign probabilities and outcomes based on imperfect test characteristics and epidemiologic estimates, evaluate alternative treatment strategies, and conduct one-way sensitivity analyses to assess which model parameters may impact the optimal treatment choice. Amua, the Swahili word meaning “decide”/“solve”, is an open source modeling framework and probabilistic programming language for decision analysis…
Probability/Bayes | Mathematical Models | Decision Analysis | Clinical Care | Health/Medicine | Graduate | Doctoral | Professional -
Tutorial/PrimerPublication, Teaching Resource 2023Conducting Trial-Based Economic Evaluations Using R: A Tutorial
Trial-based economic evaluations are increasingly conducted to support healthcare decision-making but there are inevitable methodological …
Trial-based economic evaluations are increasingly conducted to support healthcare decision-making but there are inevitable methodological challenges. This tutorial provides step-by-step guidance on how to combine appropriate statistical methods using a ready-to-use R script, and addresses missing data, correlated costs and effects, baseline imbalances, and skewness of costs and/or effects. The authors also provide the theoretical background of these methods, and demonstrate their application through a simulated trial-based economic evaluation.
Costing Methods | Evidence Synthesis | Economics/Finance | Health/Medicine | Graduate | Doctoral | Professional | Quantitative Literacy -
ReviewPublication 2023Handbook of Vaccine Health Economics
The open-access book, "Handbook of Applied Health Economics in Vaccines," looks at the complexities of …
The open-access book, "Handbook of Applied Health Economics in Vaccines," looks at the complexities of vaccine discovery, financing, and distribution. It highlights the inadequacy of standard economic models for vaccines. The book explores alternative principles challenging market-based approaches and equips readers with tools for assessing costs and benefits through practical exercises. It serves as a comprehensive resource for decision-making in vaccine development and distribution and emphasizes the importance of considering broader perspectives beyond economic efficiency.…
Costing Methods | Health Outcomes | Evidence Synthesis | Decision Analysis | Benefit-Cost Analysis | Cost-Effectiveness Analysis | Policy/Regulation | Health/Medicine | Global | Graduate | Doctoral | Professional -
Tools/ModelsWeb Portal, Teaching Resource 2019Australia & New Zealand Health Intervention Interactive League Table
This interactive league table contains more than 800 Australian and New Zealand evaluations of public …
This interactive league table contains more than 800 Australian and New Zealand evaluations of public health intervention impacts on health gains (in quality/disability/health adjusted life years), health system costs and cost effectiveness. It allows users (policy-makers, researchers, health professionals, general public) to compare the health gains and costs associated with different interventions. The web portal provides access to a Users Guide and a Plain Language Summary of how to interpret table and graph outputs. Read the research…
Priority Setting/Ethics | Health Outcomes | Cost-Effectiveness Analysis | Infectious Diseases | Chronic Disease/Risk | Mental Health | Health Systems | Health/Medicine | Asia & Pacific | Oceania | College | Graduate | Doctoral | Professional | Graphics/Visualization -
Tools/ModelsInteractive, Teaching Resource 2020Interactive Graphic: Interpreting a COVID-19 Test Result
Currently, the most common diagnostic test for COVID-19 relies on reverse transcriptase polymerase chain reaction …
Currently, the most common diagnostic test for COVID-19 relies on reverse transcriptase polymerase chain reaction (RT-PCR), and most often uses samples obtained from the respiratory tract by nasopharyngeal swab. This interactive graphic demonstrates the influence of the prior probability of COVID-19, the test sensitivity (i.e., the probability of a positive test conditional on disease presence), and the test specificity (i.e., the probability of a negative test conditional on disease absence) on the post-test probability of…
Probability/Bayes | Test Performance | Infectious Diseases | Clinical Care | Health/Medicine | Science/Technology | High School | College | Graduate | Doctoral | Professional | Graphics/Visualization | Quantitative Literacy