Resources Repository
-
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,…
Probability/Bayes | Cost-Effectiveness Analysis | Decision Analysis | Decision Psychology | Preferences/Values | Health/Medicine | Global | College | Graduate | Critical Thinking/Analysis | Quantitative Literacy -
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…
Cost-Effectiveness Analysis | Decision Analysis | Mathematical Models | Clinical Care | Health/Medicine | 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…
Probability/Bayes | Decision Analysis | Mathematical Models | Clinical Care | Health/Medicine | Graduate | Doctoral | Professional -
Lesson/ModuleVideo, Teaching Resource 2018An Overview of Decision Analysis
This video is intended to provide high-level overview of the field of decision analysis and …
This video is intended to provide high-level overview of the field of decision analysis and presents topics that include: why engage in decision analysis; what are the differences between cost-effectiveness analysis, cost-utility analysis, cost-benefit analysis, and budget impact analysis; and different ways to conduct a decision analysis – such as modeling or measuring alongside a clinical trial. This video is part of the Conducting Cost-Effectiveness Analysis with VA Data (HCEA) free course offered by the…
Cost-Effectiveness Analysis | Decision Analysis | Mathematical Models | Health Systems | Health/Medicine | North America | College | Graduate | Doctoral | Critical Thinking/Analysis | Decision Making/Leadership | 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…
Probability/Bayes | Decision Analysis | Test Performance | 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 | Decision Analysis | Test Performance | 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 | Decision Analysis | Test Performance | Health/Medicine | College | Graduate | Doctoral | Critical Thinking/Analysis | Quantitative Literacy -
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…
Cost-Effectiveness Analysis | Decision Analysis | Health/Medicine | College | Graduate | Doctoral | Critical Thinking/Analysis | Quantitative Literacy -
Teaching PackPublication, Teaching Resource 2022Teaching Pack: Cost-Effectiveness Analysis II
In this teaching pack on Economic Evaluation: Cost-Effectiveness Analysis II, students are introduced to the …
In this teaching pack on Economic Evaluation: Cost-Effectiveness Analysis II, students are introduced to the concepts of the ‘competing choice’ analysis where the choice is between mutually exclusive options and how to recognize strong and weak dominance. Additionally, students learn to plot the results of the competing choice analysis, including how to display dominated options, and finally, students are shown how to structure, conduct and interpret results of a cost-effectiveness analysis that combines the ‘shopping…
Cost-Effectiveness Analysis | Decision Analysis | Health/Medicine | College | Graduate | Doctoral | Critical Thinking/Analysis | Quantitative Literacy