Resources Repository
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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 | Decision Analysis | Mathematical Models | Clinical Care | Health/Medicine | Graduate | Doctoral | Professional -
Resource PackPublication, Teaching Resource 2021Resource Pack: Role of Heuristics in Avalanche Education
Making decisions about backcountry skiing requires one to predict, manage, and mitigate avalanche risk. Individuals …
Making decisions about backcountry skiing requires one to predict, manage, and mitigate avalanche risk. Individuals need to understand and be comfortable with the language of probability, as well as appreciate the cognitive biases that can come into play in the context of decision making. This collection includes articles that range from early attempts to identify “heuristic traps,” based on a retrospective analysis of avalanche accidents in the United States more than 20 years ago, to…
Probability/Bayes | Decision Psychology | Injuries/Accidents | Climate/Environment | Culture/Society | College | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Decision Making/Leadership -
Resource PackPublication, Teaching Resource 2018Resource Pack: Economic Evaluation Guidelines
This resource pack includes guidelines for health economic evaluation - methods designed to identify, measure …
This resource pack includes guidelines for health economic evaluation - methods designed to identify, measure and value the incremental resources used, relative to benefits gained, of alternative interventions or policies - with the goal of improving resource allocation decisions by addressing efficiency in healthcare. The selected examples focus predominantly on the conduct of cost-effectiveness analysis. Over the past three decades, cost-effectiveness analysis has gained increasing attention from decision makers in both resource-rich and resource-poor countries.…
Priority Setting/Ethics | Preferences/Values | Costing Methods | Benefit-Cost Analysis | Cost-Effectiveness Analysis | Health Systems | Policy/Regulation | Climate/Environment | Economics/Finance | Government/Law | Health/Medicine | Global | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Decision Making/Leadership | Policy Translation -
Teaching PackPublication, Teaching Resource 2022Teaching Pack: Using Test Information I
In this teaching pack on Using Test Information I, students review the performance of a …
In this teaching pack on Using Test Information I, students review the performance of a dichotomous test and the relationship between sensitivity and specificity, calculate likelihood ratios to describe test performance, and conduct probability revision using the odds-LR form of Bayes. Materials include an instructor's note, videos, companion slides, a glossary, an annotated bibliography, and sample exercises. Learning Objectives Calculate four conditional probabilities describing the performance of a dichotomous test, and explain the…
Probability/Bayes | Decision Analysis | Test Performance | Child/Nutrition | Health/Medicine | College | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Graphics/Visualization | Quantitative Literacy -
Teaching PackPublication, Teaching Resource 2022Teaching Pack: Using Test Information II
In this teaching pack on Using Test Information II, students are introduced to tests with …
In this teaching pack on Using Test Information II, students are introduced to tests with continuous or categorical results, and calculate the sensitivity and specificity conditional on different 'cutoff points' or 'positivity criterion'. They are introduced to ROC curves and explore the implications of operating at different parts of the curve for any single test. They calculate the optimal positivity criterion given information on the prior, the test performance, and the relative consequences of true…
Probability/Bayes | Decision Analysis | Test Performance | Health/Medicine | College | Graduate | Doctoral | Critical Thinking/Analysis | Quantitative Literacy -
Teaching PackPublication, Teaching Resource 2022Teaching Pack: Valuing Individual Health Outcomes
In this teaching pack on Valuing Individual Health Outcomes, students learn how to assign quantitative …
In this teaching pack on Valuing Individual Health Outcomes, students learn how to assign quantitative values to health outcomes at the individual level, including: expected utility theory, the axioms of this theory, distinguishing between preference-based measures of value and health-related quality of life outcomes, measuring utility using the standard gamble, the time trade-off, and the visual analog scale, and understanding the limitations of these measures. Materials include an instructor's note, videos, companion slides, a glossary,…
Preferences/Values | Decision Analysis | Health Outcomes | Injuries/Accidents | Economics/Finance | Health/Medicine | College | Graduate | Doctoral -
Teaching PackPublication, Teaching Resource 2022Teaching Pack: Population Health Outcomes
In this teaching pack on Population Health Outcomes, students learn how to describe outcomes at a …
In this teaching pack on Population Health Outcomes, students learn how to describe outcomes at a population level using quality adjusted life years (QALYs), including how to calculate QALYs, the assumptions underlying them, how to derive QALYs using indirect utility measures, and what are some of the ethical criticisms of QALYs. Materials include an instructor’s note, videos, companion slides, a glossary, an annotated bibliography, and sample exercises. Learning Objectives Define Quality-Adjusted Life Years (QALYs)…
Priority Setting/Ethics | Preferences/Values | Health Outcomes | Injuries/Accidents | Health/Medicine | College | Graduate | Doctoral -
Tutorial/PrimerPublication, Teaching Resource 2017Discrete Choice Experiments: A Guide to Model Specification, Estimation and Software
This is a user guide on the analysis of data (including best-worst and best-best data) …
This is a user guide on the analysis of data (including best-worst and best-best data) generated from discrete-choice experiments (DCEs), comprising a theoretical review of the main choice models followed by practical advice on estimation and post-estimation. Authors also provide a review of standard software. Authors argue that choice of modelling approach depends on the research questions, study design and constraints in terms of quality/quantity of data and that decisions made in relation to analysis of…
Preferences/Values | Decision Analysis | Health Outcomes | Economics/Finance | Health/Medicine | Graduate | Doctoral | Professional | Quantitative Literacy -
Tutorial/PrimerPublication, Teaching Resource 2014Decision Theory: A Formal Philosophical Introduction
Decision theory is the study of how choices are and should be made in a …
Decision theory is the study of how choices are and should be made in a variety of different contexts. The author approaches the topic from a formal-philosophical point of view with a focus on normative and conceptual issues. After considering the question of how decision problems should be framed, he examines both the standard theories of chance under conditions of certainty, risk and uncertainty and some of the current debates about how uncertainty should be measured and how…
Preferences/Values | Decision Theory | Economics/Finance | Doctoral | Critical Thinking/Analysis | Quantitative Literacy