Resources Repository
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BookPublication 2014Decision Making in Health and Medicine: Integrating Evidence and Values
Decision making in health care involves consideration of a complex set of diagnostic, therapeutic and …
Decision making in health care involves consideration of a complex set of diagnostic, therapeutic and prognostic uncertainties. Medical therapies have side effects, surgical interventions may lead to complications, and diagnostic tests can produce misleading results. Furthermore, patient values and service costs must be considered. Decisions in clinical and health policy require careful weighing of risks and benefits and are commonly a trade-off of competing objectives: maximizing quality of life vs maximizing life expectancy vs minimizing…
Test Performance | Decision Analysis | Government/Law | Health/Medicine | Probability/Bayes | Preferences/Values | Costing Methods | Health Outcomes | Value of Information | Mathematical Models | Cost-Effectiveness Analysis | Health Systems | Economics/Finance | Global | North America | Europe | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Decision Making/Leadership | Quantitative Literacy -
BookPublication 2010Problem Solving, Decision Making, and Professional Judgment
This book includes material drawn from statistics, decision science, social and cognitive psychology, the judgment …
This book includes material drawn from statistics, decision science, social and cognitive psychology, the judgment and decision making literature, and behavioral economics. It combines quantitative approaches to empirical analysis and decision making (i.e., statistics and decision science) with the psychological literature illustrating the systematic errors of the intuitive decision maker.
Test Performance | Decision Analysis | Government/Law | Health/Medicine | Probability/Bayes | Preferences/Values | Priority Setting/Ethics | Value of Information | Cost-Effectiveness Analysis | Policy/Regulation | Global | North America -
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…
Test Performance | Decision Analysis | Health/Medicine | Probability/Bayes | Value of Information | Science/Technology | Global | High School | College | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Graphics/Visualization | Quantitative Literacy -
ArticlePublication 2022Vaccinations versus Lockdowns to Prevent COVID-19 Mortality
This analysis estimated the costs associated with preventing Covid-19 deaths by vaccinations versus lockdowns. Publicly …
This analysis estimated the costs associated with preventing Covid-19 deaths by vaccinations versus lockdowns. Publicly available datasets from the Israeli Ministry of Health were used to model the parameters of the pandemic in Israel. The Oxford COVID-19 Government Response Tracker was used for quantitative data on government policies. Data on the Israeli economy were taken from the Central Bureau of Statistics. The models demonstrate that the first lockdown prevented 1022 COVID-19 deaths at the cost…
Decision Analysis | Government/Law | Health/Medicine | Decision Theory | Costing Methods | Health Outcomes | State-Transition | Infectious Diseases | Policy/Regulation | Economics/Finance | Middle East & North Africa -
ArticlePublication 2020Infectious Disease Pandemic Planning and Response: Incorporating Decision Analysis
During a pandemic, decisions must be made under rapidly changing, uncertain conditions. Despite advances in …
During a pandemic, decisions must be made under rapidly changing, uncertain conditions. Despite advances in analytical methods for gaining early situational awareness (i.e., of a disease’s transmissibility and severity) and for predicting the likely effectiveness of interventions, a major gap exists globally in terms of integrating this information in policy documents. The authors argue that mathematical and statistical models are important tools for pandemic planning and response. Once an outbreak of pandemic potential has been…
Decision Analysis | Government/Law | Health/Medicine | Mathematical Models | Health Systems | Global -
EditorialPublication 2020Waiting for Certainty on COVID-19 Antibody Tests — At What Cost?
This perspective anticipates the availability of serologic antibody testing and considers its potential usefulness in mitigation …
This perspective anticipates the availability of serologic antibody testing and considers its potential usefulness in mitigation policy to reduce COVID-19 transmission. For example: Could we screen for serologic antibodies as a proxy for possible immunity and identify people who could return to the workplace with less severe mitigation measures? The authors acknowledge the uncertainties raised by many policy actors, including the WHO, such as, "Do antibodies confer immunity and, if so, for how long? How accurate is…
Test Performance | Government/Law | Health/Medicine | Probability/Bayes | Technology Assessment | Infectious Diseases | Health Systems | Policy/Regulation | Global | North America -
Resource PackPublication, Teaching Resource 2024Resource Pack: Introduction to Benefit-Cost Analysis
This resource pack, curated by the Center for Health Decision Science, introduces the theory and …
This resource pack, curated by the Center for Health Decision Science, introduces the theory and practice of benefit-cost analysis. It is targeted towards advanced students as well as practitioners and those interested in teaching benefit-cost analysis. Benefit-cost analysis (also referred to as cost-benefit analysis) is a well-established and widely-used form of economic evaluation. It is designed to inform policy and other decisions by providing evidence on the consequences of alternative interventions. In benefit-cost analysis, all…
Decision Analysis | Government/Law | Health/Medicine | Preferences/Values | Priority Setting/Ethics | Benefit-Cost Analysis | Social Determinants | Policy/Regulation | Climate/Environment | Economics/Finance | Global | College | Graduate | Doctoral | Professional | Critical Thinking/Analysis -
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…
Test Performance | Decision Analysis | Health/Medicine | Probability/Bayes | Environmental Health | 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…
Test Performance | Decision Analysis | Health/Medicine | Probability/Bayes | Child/Nutrition | College | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Graphics/Visualization | Quantitative Literacy