- decision psychology
- priority setting/ethics
- models and tools
- mathematical models
- state-transition
- microsimulation
- calibration/validation
- dynamic simulation
- approaches and applications
- decision analysis
- risk analysis
- benefit-cost analysis
- cost-effectiveness analysis
- technology assessment
- operations research
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…
Mathematical Models | Cost-Effectiveness Analysis | Decision Analysis | Clinical Care | Health/Medicine | Graduate | Doctoral | Professional -
Teaching PackWeb Portal, Teaching Resource 2024Teaching Pack: Amua Modeling Platform
This teaching pack, curated by the Center for Health Decision Science, provides students with a …
This teaching pack, curated by the Center for Health Decision Science, provides students with a hands-on opportunity to gain experience to use the open-access decision science software, Amua. These resources are intended for students with a basic understanding of decision science. Materials include Amua introductory videos, basic decision modeling tutorials for decision trees and Markov models, and case-based tutorials based on analyses in published literature. About Amua Amua, the Swahili word meaning “decide”/“solve”, is an…
Mathematical Models | Decision Analysis | 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…
Mathematical Models | Decision Analysis | Probability/Bayes | Clinical Care | Health/Medicine | Graduate | Doctoral | Professional -
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…
Decision Psychology | Decision Theory | Probability/Bayes | Preferences/Values | Chronic Disease/Risk | Clinical Care | Business/Industry | Economics/Finance | Health/Medicine | High School | College | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Decision Making/Leadership | 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 | Probability/Bayes | Test Performance | Child/Nutrition | Health/Medicine | College | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Graphics/Visualization | Quantitative Literacy