Resources Repository
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BookPublication 2010Problem Solving, Decision Making, and Professional Judgment
This book includes material drawn from statistics, decision science, social and cognitive psychology, the judgment …
This book includes material drawn from statistics, decision science, social and cognitive psychology, the judgment and decision making literature, and behavioral economics. It combines quantitative approaches to empirical analysis and decision making (i.e., statistics and decision science) with the psychological literature illustrating the systematic errors of the intuitive decision maker.
Health/Medicine | Probability/Bayes | Preferences/Values | Priority Setting/Ethics | Test Performance | Value of Information | Decision Analysis | Cost-Effectiveness Analysis | Policy/Regulation | Government/Law | Global | North America -
ArticlePublication 2007Decision Analysis: A Personal Account of How It Got Started and Evolved
In this chapter, Howard Raiffa discusses the evolution of decision analysis and his personal involvement …
In this chapter, Howard Raiffa discusses the evolution of decision analysis and his personal involvement in its development. He describes the early days of Operations Research (OR) in the late 1940s with its approach to complex, strategic decision making. After reading John von Neumann and Oskar Morgenstern’s Theory of Games and Economic Behavior (1947) and Abraham Wald’s two books (1947, 1950), he became involved in statistical decision theory. A few years later, after reading Leonard…
Health/Medicine | Decision Theory | Probability/Bayes | Preferences/Values | Decision Analysis | Operations Research | Business/Industry | Economics/Finance | Energy/Engineering -
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…
Health/Medicine | Decision Theory | Probability/Bayes | Preferences/Values | Costing Methods | Health Outcomes | Value of Information | Mathematical Models | Decision Analysis | Cost-Effectiveness Analysis | Business/Industry | Economics/Finance | Government/Law -
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…
Health/Medicine | Probability/Bayes | Preferences/Values | Priority Setting/Ethics | Costing Methods | Health Outcomes | Mathematical Models | Decision Analysis | Benefit-Cost Analysis | Cost-Effectiveness Analysis | Economics/Finance | Global | North America | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Decision Making/Leadership | Quantitative Literacy -
Resource PackPublication, Teaching Resource 2023Resource Pack: Diagnostic Tests, Bayes, and COVID-19
This resource pack provides a curated set of articles, perspectives, and interactives about diagnostic testing …
This resource pack provides a curated set of articles, perspectives, and interactives about diagnostic testing for COVID-19. The pack provides materials that will be particularly useful for educators who are teaching diagnostic test performance, value of information, and probability revision using Bayes’ theorem. The majority of papers focus on PCR or rapid antigen testing on samples obtained from the respiratory tract by nasopharyngeal swab. The mechanism of false negative results (e.g., timing of sample collection…
Health/Medicine | Science/Technology | Probability/Bayes | Test Performance | Value of Information | Decision Analysis | Global | High School | College | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Graphics/Visualization | Quantitative Literacy -
Resource PackWeb Portal, Teaching Resource 2023Resource Pack: Cost-Effectiveness of Screening and Treatment for Hypertension
Hypertension is a relevant example for teaching clinical decision making, diagnostic test performance, positivity criterion, …
Hypertension is a relevant example for teaching clinical decision making, diagnostic test performance, positivity criterion, and cost-effectiveness analysis. This resource pack provides examples of decision analyses and cost-effectiveness analyses for the management and treatment of hypertension, with a predominant focus on the U.S. Analyses are included that predate the 2017 American College of Cardiology/American Heart Association Clinical Practice Guidelines, along with more recent examples that followed release of the guidelines. Resources are also included that…
Health/Medicine | Science/Technology | Preferences/Values | Test Performance | Decision Analysis | Cost-Effectiveness Analysis | Chronic Disease/Risk | Clinical Care | Economics/Finance | North America | Europe | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Policy Translation | Quantitative Literacy -
ReviewPublication 2021Review of Web-Based Tools for Value-of-Information Analysis
Value-of-information analysis (VOI) is an analytic approach used to inform research priorities, guide clinical trial …
Value-of-information analysis (VOI) is an analytic approach used to inform research priorities, guide clinical trial design, and provide information for decisions about reimbursement. The authors review existing web-based tools to facilitate VOI calculations. These include Sheffield Accelerated Value of Information (SAVI), the web interface to the BCEA (Bayesian Cost-Effectiveness Analysis) R package (BCEAweb), Rapid Assessment of Need for Evidence (RANE), and Value of Information for Cardiovascular Trials and Other Comparative Research (VICTOR).
Health/Medicine | Decision Theory | Priority Setting/Ethics | Value of Information | Cost-Effectiveness Analysis | Economics/Finance -
Resource PackWeb Portal, Teaching Resource 2023Resource Pack: Maternal Health Models and CEA
This resource pack, curated by the Center for Health Decision Science, provides selected examples of …
This resource pack, curated by the Center for Health Decision Science, provides selected examples of modeling approaches used to conduct analyses relevant to maternal and reproductive health. Some papers focus on a particular problem (e.g., screening for prenatal syphilis, comparison of alternative strategies for safe abortion), while others explore strategies for reducing morbidity and mortality from the entire spectrum of pregnancy and childbirth-related complications. Several of the examples model the primary drivers of maternal mortality (e.g.,…
Calibration/Validation | Health/Medicine | Science/Technology | Costing Methods | Evidence Synthesis | Mathematical Models | Microsimulation | Cost-Effectiveness Analysis | Maternal/Reproductive Health | Health Systems | Clinical Care | Global | Sub-Saharan Africa | Middle East & North Africa | Latin America & Caribbean | Asia & Pacific -
ArticlePublication 2020Perceptions of COVID-19 around the World
This study evaluates public risk perception of COVID-19 around the world in ten countries across …
This study evaluates public risk perception of COVID-19 around the world in ten countries across Europe, America, and Asia. They found that significant predictors of risk perception included personal experience with the virus, individualistic and prosocial values, hearing about the virus from friends and family, trust in government, science, and medical professionals, personal knowledge of government strategy, and personal and collective efficacy. Although there was substantial variability across cultures, individualistic worldviews, personal experience, prosocial values,…
Health/Medicine | Decision Psychology | Preferences/Values | Risk Analysis | Infectious Diseases | Culture/Society | Global