Resources Repository
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ExerciseNone, Teaching Resource 2024Lab: Autoimmune Encephalitis Decision Tree Model
This tutorial walks through the development of a decision tree model based on a published …
This tutorial walks through the development of a decision tree model based on a published cost-effectiveness analysis of routine screening for autoimmune encephalitis in patients with first-episode psychosis in the United States based on the published article: Ross EL, Becker JE, Linnoila JJ, Soeteman DI. Cost-Effectiveness of Routine Screening for Autoimmune Encephalitis in Patients with First-Episode Psychosis in the United States. J Clin Psychiatry 2020; 82 (1): 19m13168. The tutorial describes how to build the…
Decision Analysis | Health/Medicine | Mathematical Models | Cost-Effectiveness Analysis | Clinical Care | Graduate | Doctoral | Professional -
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…
Decision Analysis | Health/Medicine | Probability/Bayes | Mathematical Models | Clinical Care | 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 Analysis | Health/Medicine | Decision Psychology | Probability/Bayes | Preferences/Values | Cost-Effectiveness Analysis | Global | College | Graduate | Critical Thinking/Analysis | Quantitative Literacy -
Teaching PackPublication, Teaching Resource 2022Teaching Pack: Building Decision Trees
In this teaching pack on Building Decision Trees, students learn how to structure the elements …
In this teaching pack on Building Decision Trees, students learn how to structure the elements (e.g., objectives, alternatives, probabilities, and outcomes) of a problem into a decision tree model, conduct a baseline analysis of the expected value of different alternatives, assess the value of perfect information, and perform sensitivity analyses. Materials include an instructor's note, videos, companion slides, a glossary, an annotated bibliography, and sample exercises. Learning Objectives Integrate the core elements (alternatives,…
Decision Analysis | Health/Medicine | Infectious Diseases | Global | College | Graduate | Conceptual Mapping | Graphics/Visualization | Quantitative Literacy -
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…
Decision Analysis | Health/Medicine | Probability/Bayes | Test Performance | 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…
Decision Analysis | Health/Medicine | Probability/Bayes | Test Performance | Child/Nutrition | 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…
Decision Analysis | Health/Medicine | Probability/Bayes | Test Performance | 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,…
Decision Analysis | Health/Medicine | Preferences/Values | Health Outcomes | Injuries/Accidents | Economics/Finance | College | Graduate | Doctoral -
Teaching PackPublication, Teaching Resource 2022Teaching Pack: Cost-Effectiveness Analysis I
In this teaching pack on Economic Evaluation: Cost-Effectiveness Analysis I, students are introduced to economic evaluation …
In this teaching pack on Economic Evaluation: Cost-Effectiveness Analysis I, students are introduced to economic evaluation as it relates to public health and learn to distinguish between cost-effectiveness and benefit-cost analyses. They learn the concepts of opportunity cost, incremental cost-effectiveness analysis and incremental cost-effectiveness ratios. Finally, students are shown the steps used to conduct a shopping spree cost-effectiveness analysis designed to maximize health under a budget constraint. Materials include an instructor's note, videos, companion slides, a…
Decision Analysis | Health/Medicine | Cost-Effectiveness Analysis | College | Graduate | Doctoral | Critical Thinking/Analysis | Quantitative Literacy