Resources Repository
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ToolWeb 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: 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 | Decision Analysis | Cost-Effectiveness Analysis | 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 Theory | Decision Psychology | 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 -
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 | Mathematical Models | Decision Analysis | Clinical Care | Health/Medicine | Graduate | Doctoral | Professional -
Brief/PerspectivePublication, Teaching Resource 2021Using a Visual Tool to Map the Learning Ecosystem
A well-designed course should include a series of learning experiences – leveraging different modalities - …
A well-designed course should include a series of learning experiences – leveraging different modalities - that allow the learning process to extend across time, provide students opportunities to engage in a variety of diverse activities, and scaffolding to achieve learning objectives. Engaging in deliberative process to map the “course ecosystem” promotes thinking about how to create and curate “learning experiences” rather than the traditional “developing a lecture, selecting a reading list, and assigning homework.” The CHDS…
Culture/Society | Education/Labor | Health/Medicine | High School | College | Graduate | Doctoral | Professional | Instructional Design | Pedagogy -
Brief/PerspectivePublication, Teaching Resource 2022Long Enough to Reach the Ground: Video Length in Multimedia
Among the most common questions instructional designers and media producers are asked are, “How important …
Among the most common questions instructional designers and media producers are asked are, “How important is video length, relative to other attributes, in my course design” and “How long should the video be to maximize learning-efficacy?” While there has been some research that provides insights into video length, there are limitations in existing studies that make generalizable recommendations challenging. This short brief looks at two studies to illustrate these challenges and concludes that the current…
Culture/Society | Education/Labor | High School | College | Graduate | Doctoral | Professional | Graphics/Visualization | Instructional Design | Pedagogy -
Teaching PackWeb Portal, Teaching Resource 2023Teaching Pack: Building Multimedia Learning Experiences
This teaching pack is intended to support multimodal teaching and learning and was produced and …
This teaching pack is intended to support multimodal teaching and learning and was produced and curated by the Media Hub at the Center for Health Decision Science (CHDS) at the Harvard T.H. Chan School of Public Health in collaboration with the Global Health and Education Learning Incubator (GHELI) at Harvard University. It features a collection of briefs and perspectives containing short summaries and actionable tips, visual tools and multimedia examples, a working paper, and featured…
Culture/Society | Education/Labor | Health/Medicine | Science/Technology | High School | College | Graduate | Doctoral | Professional | Conceptual Mapping | Graphics/Visualization | Instructional Design | Pedagogy | Assessment -
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 | Test Performance | Decision Analysis | 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 | Test Performance | Decision Analysis | Health/Medicine | College | Graduate | Doctoral | Critical Thinking/Analysis | Quantitative Literacy