Resources Repository
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Tutorial/PrimerPublication, Teaching Resource 2024Tutorial: Introduction to Programming Decision Trees
This self-directed tutorial walks through the development of a decision tree using Amua to evaluate …
This self-directed tutorial walks through the development of a decision tree using Amua to evaluate three initial management strategies for ductal carcinoma in situ (DCIS) based on a published analysis: Soeteman DI, Stout NK, Ozanne EM et al. Modeling the Effectiveness of Initial Management Strategies for Ductal Carcinoma in Situ. J Natl Cancer Inst 2013; 105 (11): 774-781. The tutorial describes how to build the model structure, parameterize the model probabilities and outcomes based on…
Decision Analysis | Health/Medicine | Mathematical Models | Clinical Care | Graduate | Doctoral | Professional -
Tutorial/PrimerPublication, Teaching Resource 2023Survival Extrapolation Incorporating General Population Mortality Using Excess Hazard and Cure Models: Tutorial
The study examines the utility of excess hazard (EH) methods in reducing model uncertainty when …
The study examines the utility of excess hazard (EH) methods in reducing model uncertainty when estimating long-term survival in cost-effectiveness analyses. Using a case study of breast cancer patients, standard parametric survival models were compared with EH methods incorporating general population mortality rates, with and without a cure parameter. Results showed substantial variability in survival extrapolations across standard models, while EH methods, particularly EH cure models, significantly reduced uncertainty. Long-term treatment effects approached null for…
Cost-Effectiveness Analysis | Health/Medicine | Mathematical Models | Chronic Disease/Risk | Europe -
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