Resources Repository
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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 -
ArticlePublication 2020Interpreting COVID-19 Test Results: A Bayesian Approach
This article considers the following question with respect to interpreting the results of polymerase chain reaction …
This article considers the following question with respect to interpreting the results of polymerase chain reaction (PCR) assays from nasal and pharyngeal swabs for COVID-19 to inform clinical decision making: "While a positive result in an acutely ill patient is straightforward, how should physicians interpret negative tests in patients with suspected COVID-19 infection?" Using an assumption of near-perfect specificity of PCR assays for COVID-19, the authors acknowledge the uncertainty of test sensitivity. They consider two clinical scenarios…
Probability/Bayes | Test Performance | Infectious Diseases | Health/Medicine | Science/Technology | Global -
ArticlePublication 2020Clinical Decision Making: Using a Diagnostic Test
This article is part of a 6-part series on clinical decision making. The authors use …
This article is part of a 6-part series on clinical decision making. The authors use two clinical examples to review the principles of interpreting diagnostic test results. They outline an approach that can be used to determine how to select and apply tests and their results to the practice of internal medicine. Topics covered in the two case studies include sensitivity and specificity, positive predictive and negative predictive value of tests, and how to estimate…
Probability/Bayes | Test Performance | Clinical Care | Health/Medicine -
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 | Decision Theory | Decision Psychology | Preferences/Values | Business/Industry | Climate/Environment | Culture/Society | Economics/Finance | Health/Medicine | Science/Technology | Global | High School | College | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Decision Making/Leadership | Policy Translation -
Teaching PackPublication, Teaching Resource 2022Teaching Pack: Probability Revision and Bayes
In this teaching pack on Probability Revision and Bayes, students are introduced to the implications …
In this teaching pack on Probability Revision and Bayes, students are introduced to the implications of imperfect information, acquire a conceptual understanding of Bayes theorem, and gain practical skills in performing probability revision. Materials include an instructor's note, videos, companion slides, a glossary, an annotated bibliography, sample exercises, and additional support. Learning Objectives Demonstrate a conceptual understanding of Bayes’ theorem and probability revision. Differentiate between test characteristics (e.g., probability of positive test given…
Probability/Bayes | Test Performance | Decision Analysis | Environmental Health | Health/Medicine | College | Graduate | Critical Thinking/Analysis | Graphics/Visualization | Quantitative Literacy -
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 | Test Performance | Decision Analysis | 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 | Test Performance | Decision Analysis | Health/Medicine | College | Graduate | Doctoral | Critical Thinking/Analysis | Quantitative Literacy -
Teaching PackWeb Portal, Teaching Resource 2018Teaching Pack: Teaching Prototypes for Decision Analysis
These videos, developed by Professor Myriam Hunink during an immersion residency at the Center for …
These videos, developed by Professor Myriam Hunink during an immersion residency at the Center for Health Decision Science (CHDS) Media Hub, reflect experiments to augment brick and mortar teaching with multimedia materials that emphasize visualization of basic concepts. The first video introduces decision making under uncertainty, and illustrates the use of probability and odds to quantitatively express uncertainty. The second and third videos introduce probability revision visually and analytically, showing how an initial probability is…
Probability/Bayes | Test Performance | Value of Information | Chronic Disease/Risk | Health Systems | Health/Medicine | North America | Europe | High School | College | Graduate | Doctoral | Critical Thinking/Analysis | Graphics/Visualization | Quantitative Literacy -
OrganizationWeb Portal 2024American Statistical Association (ASA)
The American Statistical Association (ASA) founded in 1839, is the world’s second-oldest, continuously operating professional association …
The American Statistical Association (ASA) founded in 1839, is the world’s second-oldest, continuously operating professional association in the country. The ASA has supported the development, application, and dissemination of statistical science through meetings, publications, membership services, accreditation, fellowships and grants, and advocacy. ASA provides educational materials for K–12 undergraduate and graduate faculty, statistics students, and statisticians in developing countries, including classroom resources, publications in statistics education, guidelines and reports, professional development resources, communities, competitions, programs, and resources…
Probability/Bayes | Decision Theory | Evidence Synthesis | Business/Industry | Climate/Environment | Education/Labor | Food/Agriculture | Health/Medicine | Military/Defense | Science/Technology | Global | North America