Resources Repository
-
GuidelinesPublication 2012Modeling Using Discrete Event Simulation: A Report of the ISPOR-SMDM Modeling Task Force-4
This paper reports on consensus-based guidelines on the application of DES in a health care …
This paper reports on consensus-based guidelines on the application of DES in a health care setting, covering the range of issues to which DES can be applied. Discrete event simulation (DES) is a form of computer-based modeling that provides an intuitive and flexible approach to representing complex systems. The article works through the different stages of the modeling process: structural development, parameter estimation, model implementation, model analysis, and representation and reporting. Recommendations are made for…
Evidence Synthesis | Mathematical Models | Calibration/Validation | Dynamic Simulation | Health/Medicine -
BookPublication 2009Encyclopedia of Medical Decision Making
This encyclopedia addresses both prescriptive and descriptive decision making through a conceptual structure consisting of six …
This encyclopedia addresses both prescriptive and descriptive decision making through a conceptual structure consisting of six components of classical decision analysis. It includes articles that have been prepared by more than 200 contributors from around the world. The alphabetical organization of the encyclopedia facilitates access to information. A Reader’s Guide, organized by category of the decisionmaking process includes the following 7 components: Identification of the decision maker - in other words, who must choose. In general, there…
Evidence Synthesis | Preferences/Values | Mathematical Models | Decision Psychology | Costing Methods | Test Performance | Value of Information | Decision Analysis | Benefit-Cost Analysis | Cost-Effectiveness Analysis | Technology Assessment | Health/Medicine -
BookPublication 2007Advances in Decision Analysis: From Foundations to Applications
Decision analysis consists of a prescriptive theory and associated models and tools that aid individuals …
Decision analysis consists of a prescriptive theory and associated models and tools that aid individuals or groups confronted with complex decision problems in a wide variety of contexts. Decision analysis can be applied to the environment, health and medicine, engineering, public policy, and business. This book reviews and extends the material typically presented in introductory texts on decision analysis. It covers the broad scope of decision analysis at an advanced level and includes chapters written by…
Preferences/Values | Probability/Bayes | Mathematical Models | Decision Theory | Costing Methods | Health Outcomes | Value of Information | Decision Analysis | Cost-Effectiveness Analysis | Business/Industry | Economics/Finance | Government/Law | Health/Medicine -
BookPublication 2002Prevention Effectiveness: Guide to Decision Analysis and Economic Evaluation, 2nd Edition
This book was originally written to introduce Centers for Disease Control and Prevention staff to …
This book was originally written to introduce Centers for Disease Control and Prevention staff to the concepts of decision and economic analysis, to provide guidance on methods to maximize comparability of studios, and to provide access to frequently used reference information. It has been adapted to meet the needs of scientists and managers in state and local health departments and managed care organizations as well as students in schools of public health and clinicians for…
Preferences/Values | Probability/Bayes | Mathematical Models | Priority Setting/Ethics | Costing Methods | Health Outcomes | Decision Analysis | Benefit-Cost Analysis | Cost-Effectiveness Analysis | Economics/Finance | Health/Medicine | Global | North America | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Decision Making/Leadership | Quantitative Literacy -
Tutorial/PrimerPublication, Teaching Resource 2024Tutorial: Building Decision Trees
This tutorial illustrates the basic steps needed to develop decision trees in Amua using a …
This tutorial illustrates the basic steps needed to develop decision trees in Amua using a disease screening example. It details the process of how to build the structure of a decision tree, parameterize the model with probabilities and relevant outcomes (i.e., life expectancy), evaluate three alternative screening strategies in a baseline scenario, and perform one-way sensitivity analyses to assess the robustness of the results to different parameter values. Amua, the Swahili word meaning “decide”/“solve”, is…
Probability/Bayes | Mathematical Models | Decision 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…
Preferences/Values | Probability/Bayes | Decision Theory | Decision Psychology | 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 -
ArticlePublication 2023Simulation-Based Comparative Effectiveness Analysis of Policies to Improve Global Maternal Health Outcomes
The Sustainable Development Goals include a target to reduce the global maternal mortality ratio (MMR) …
The Sustainable Development Goals include a target to reduce the global maternal mortality ratio (MMR) to less than 70 maternal deaths per 100,000 live births by 2030, with no individual country exceeding 140. However, on current trends the goals are unlikely to be met. The authors used an empirically calibrated Global Maternal Health microsimulation model, which simulates individual women in 200 countries and territories to evaluate the impact of different interventions and strategies from 2022…
Mathematical Models | Calibration/Validation | Health Outcomes | Microsimulation | Maternal/Reproductive Health | Health Systems | Clinical Care | Health/Medicine | Global -
ArticlePublication 2023Simulation-Based Estimates and Projections of Global, Regional and Country-Level Maternal Mortality by Cause, 1990-2050
While progress has been made globally to reduce maternal deaths, measurement remains a challenge given …
While progress has been made globally to reduce maternal deaths, measurement remains a challenge given the many causes and frequent underreporting of maternal deaths. The authors developed a structural microsimulation model of Global Maternal Health (GMatH) for 200 countries and territories using demographic, epidemiologic, clinical and health system data synthesized from the medical literature, Civil Registration Vital Statistics systems and Demographic and Health Survey data. The model was calibrated to empirical data from 1990 to…
Evidence Synthesis | Calibration/Validation | Health Outcomes | Microsimulation | Maternal/Reproductive Health | Health Systems | Clinical Care | Health/Medicine | Global