Resources Repository
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Teaching PackWeb Portal, Teaching Resource 2023Teaching Pack: Heuristics with Joe Pliskin
This teaching pack, curated by the Center for Health Decision Science, features videos introducing heuristics …
This teaching pack, curated by the Center for Health Decision Science, features videos introducing heuristics used in decision making. While these “mental shortcuts” can be useful in some circumstances, they can lead to more errors than deliberate, rational thinking. An awareness of these heuristics is useful to decision makers. This series of videos on heuristics was developed by Professor Joe Pliskin during his residency with the CHDS Media Hub led by Jake Waxman. They reflect…
Decision Psychology | Decision Theory | Probability/Bayes | Preferences/Values | Chronic Disease/Risk | Clinical Care | Business/Industry | Economics/Finance | Health/Medicine | High School | College | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Decision Making/Leadership | Quantitative Literacy -
GuidelinesPublication, Teaching Resource 2018Behavioral Economics Guide 2018
The 2018 Behavioral Economics Guide provides an introduction to behavioral economics, a review of developments …
The 2018 Behavioral Economics Guide provides an introduction to behavioral economics, a review of developments in the field, insights from practitioners, and general resources such as postgraduate programs and scholarly journals. This is the fifth edition of this now yearly publication. The 2018 edition features an introduction written by Robert Cialdini. Behavioraleconomics.com is the official home of the Behavioral Economics Guide. The guide is downloadable free of charge from the website.
Decision Psychology | Decision Theory | Preferences/Values | College | Graduate | Doctoral | Professional -
Teaching PackPublication, Teaching Resource 2022Teaching Pack: Introduction to Decision Analysis
In this teaching pack on Introduction to Decision Analysis, students are provided a basic introduction to …
In this teaching pack on Introduction to Decision Analysis, students are provided a basic introduction to the field of decision analysis in the context of public health. After differentiating simple "relatively automatic" decisions from those that might require more systematic analysis, students are introduced to the core elements of a decision analysis (e.g., objectives, alternatives, probabilities, and outcomes), and the basic steps of a decision analysis. Materials include an instructor's note, videos, companion slides, a glossary,…
Decision Psychology | Probability/Bayes | Preferences/Values | Decision Analysis | Cost-Effectiveness Analysis | Health/Medicine | Global | College | Graduate | Critical Thinking/Analysis | Quantitative Literacy -
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/PrimerWeb Portal, Teaching Resource 2015Decision Theory
This chapter on normative decision theory is from the Stanford Encyclopedia of Philosophy, a dynamic reference …
This chapter on normative decision theory is from the Stanford Encyclopedia of Philosophy, a dynamic reference work available online. Decision theory is concerned with the reasoning underlying an person's choices, whether a mundane choice between taking the bus or getting a taxi, or a more far-reaching choice about whether to pursue a demanding political career. The orthodox normative decision theory, expected utility (EU) theory, essentially says that, in situations of uncertainty, one should prefer the option…
Decision Theory | Preferences/Values | Economics/Finance | Graduate | Doctoral | Critical Thinking/Analysis | 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…
Decision Theory | Preferences/Values | Economics/Finance | Doctoral | Critical Thinking/Analysis | Quantitative Literacy -
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 -
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 -
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.
Evidence Synthesis | Costing Methods | Economics/Finance | Health/Medicine | Graduate | Doctoral | Professional | Quantitative Literacy