Resources Repository
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Resource PackPublication, Teaching Resource 2023Resource Pack: Books on Decision Making and Thinking
This resource pack, curated by the Center for Health Decision Science, features books about how …
This resource pack, curated by the Center for Health Decision Science, features books about how we think, learn, and decide. We aim to provide an introduction to some of the core concepts in decision theory and psychology with this collection, and hope that it will stimulate further inquiry. These books are geared to a general audience; the majority are very accessible reads. The collection is broadly divided into three categories. The first is made up of…
Probability/Bayes | Health/Medicine | Climate/Environment | Business/Industry | Decision Theory | Decision Psychology | Preferences/Values | Culture/Society | Economics/Finance | Science/Technology | Global | High School | College | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Decision Making/Leadership | Policy Translation -
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…
Probability/Bayes | Health/Medicine | Business/Industry | Decision Theory | Decision Psychology | Preferences/Values | Chronic Disease/Risk | Clinical Care | Economics/Finance | High School | College | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Decision Making/Leadership | Quantitative Literacy -
Resource PackWeb Portal, Teaching Resource 2018Resource Pack: Cervical Cancer Models
This resource pack, curated by the Center for Health Decision Science, is a collection of …
This resource pack, curated by the Center for Health Decision Science, is a collection of models of HPV-related cervical cancer, differing in design, structure and features based on analytic objectives. In many ways, HPV and its related diseases represent a prototypical public health problem given the communicable and non-communicable nature of disease, opportunities for intervention along the entire disease spectrum (e.g., primary and secondary prevention, diagnosis, treatment), the varied ages at which interventions are targeted…
Dynamic Transmission | Health/Medicine | Business/Industry | Mathematical Models | State-Transition | Microsimulation | Calibration/Validation | Dynamic Simulation | Cost-Effectiveness Analysis | Infectious Diseases | Chronic Disease/Risk | Health Systems | Clinical Care | Economics/Finance | Science/Technology | Global -
Resource PackPublication, Teaching Resource 2018Resource Pack: Models for Health Decision Science
This resource pack, curated by the Center for Health Decision Science, provides broad exposure to …
This resource pack, curated by the Center for Health Decision Science, provides broad exposure to mathematical models used in health decision science (e.g., microsimulation, dynamic transmission, agent-based, etc.). Resources include overviews, guidelines, tutorials, and applications relevant to a broad range of clinical and public health topics. A decision analytic approach relies on the use of a mathematical model to formally structure the components of the decision over time. Models are particularly useful when multiple data sources…
Dynamic Transmission | Health/Medicine | Climate/Environment | Mathematical Models | State-Transition | Microsimulation | Dynamic Simulation | Economics/Finance | Science/Technology -
Lesson/ModuleWeb Portal, Teaching Resource 2016Educational Module: Shale Gas Development
This module has been developed around the topic of the extraction of natural gas from …
This module has been developed around the topic of the extraction of natural gas from shale. This practice, commonly referred to as fracking, involves several practices that have complex and uncertain consequences. In the module, three scientific concepts are explored in order to elucidate how science is applied toward addressing real-world problems. The scientific concepts are: (1) correlation is not the same as causation, (2) hazard is not the same as risk, and (3) risk…
Probability/Bayes | Climate/Environment | Business/Industry | Risk Analysis | Environmental Health | Policy/Regulation | Energy/Engineering | Government/Law | Science/Technology | Global | North America | College | Graduate | Doctoral | Critical Thinking/Analysis | Decision Making/Leadership -
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 | Health/Medicine | Test Performance | Value of Information | Decision Analysis | Science/Technology | Global | High School | College | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Graphics/Visualization | 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 | Health/Medicine | Mathematical Models | Decision Analysis | Clinical Care | 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 | Climate/Environment | Decision Psychology | Injuries/Accidents | Culture/Society | College | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Decision Making/Leadership -
Lesson/ModuleVideo, Teaching Resource 2018Estimating Transition Probabilities for a Model
This video is intended to provide a discussion on various methods for deriving probabilities that are …
This video is intended to provide a discussion on various methods for deriving probabilities that are needed for decision models. Presented are the concepts of literature based Odds Ratios and Relative Risks, which need to be transformed into probabilities, how to deal with probability estimates from time frames not relevant to the model in question, and how to derive probabilities from published summary statistics. This lecture is aimed at the researcher who is interested in operationalizing…
Probability/Bayes | Health/Medicine | Evidence Synthesis | Mathematical Models | North America | College | Graduate | Doctoral | Critical Thinking/Analysis | Quantitative Literacy