Resources Repository
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ArticlePublication 2022Vaccinations versus Lockdowns to Prevent COVID-19 Mortality
This analysis estimated the costs associated with preventing Covid-19 deaths by vaccinations versus lockdowns. Publicly …
This analysis estimated the costs associated with preventing Covid-19 deaths by vaccinations versus lockdowns. Publicly available datasets from the Israeli Ministry of Health were used to model the parameters of the pandemic in Israel. The Oxford COVID-19 Government Response Tracker was used for quantitative data on government policies. Data on the Israeli economy were taken from the Central Bureau of Statistics. The models demonstrate that the first lockdown prevented 1022 COVID-19 deaths at the cost…
Health Outcomes | Government/Law | Decision Analysis | Decision Theory | Costing Methods | State-Transition | Infectious Diseases | Policy/Regulation | Economics/Finance | Health/Medicine | Middle East & North Africa -
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 Outcomes | Government/Law | Decision Analysis | Decision Theory | Probability/Bayes | Preferences/Values | Costing Methods | Value of Information | Mathematical Models | Cost-Effectiveness Analysis | Business/Industry | Economics/Finance | Health/Medicine -
OrganizationWeb Portal 2024Agency for Healthcare Research and Quality (AHRQ)
The Agency for Healthcare Research and Quality (AHRQ) is the nation's lead federal agency for …
The Agency for Healthcare Research and Quality (AHRQ) is the nation's lead federal agency for research on health care quality, costs, outcomes and patient safety. AHRQ is the health services research arm of the U.S. Department of Health and Human Services (HHS), complementing the biomedical research mission of its sister agency, the National Institutes of Health. The agency is home to research centers that specialize in major areas of health care research, including: clinical practice…
Health Outcomes | Government/Law | Decision Analysis | Costing Methods | Test Performance | Cost-Effectiveness Analysis | Technology Assessment | Infectious Diseases | Maternal/Reproductive Health | Child/Nutrition | Chronic Disease/Risk | Mental Health | Injuries/Accidents | Social Determinants | Health Systems | Policy/Regulation | Economics/Finance | Health/Medicine | Science/Technology | North America -
Lesson/ModuleWeb Portal, Teaching Resource 2016Educational Module: Forensic Pattern Recognition
This module uses latent print (fingerprint) identification as a case study of the broader category …
This module uses latent print (fingerprint) identification as a case study of the broader category of forensic pattern recognition evidence. The case of forensic pattern recognition evidence is meant, in turn, to be a case study of the broader issue of the interaction between science and law and policy. The case of fingerprinting identification poses challenging questions for legal professionals and policy-makers. Although fingerprint identification is one of the most widely used and widely trusted…
Government/Law | Decision Analysis | Decision Theory | Probability/Bayes | Policy/Regulation | Science/Technology | Global | North America | College | Graduate | Doctoral | Critical Thinking/Analysis | Decision Making/Leadership | Quantitative Literacy -
BookPublication 2016Foundations of Decision Analysis
This book is described by the authors as emerging from what they have learned by …
This book is described by the authors as emerging from what they have learned by "teaching decision analysis to thousands of people in the United States and around the world in university classes and special professional educational programs". The early chapters and certain later chapters are written to be accessible to a general audience. Chapters 1 through 17 introduce the foundations of decision analysis without requiring significant mathematical sophistication. Chapter 26 discusses multi-attribute decision problems…
Government/Law | Decision Analysis | Decision Theory | Decision Psychology | Probability/Bayes | Operations Research | Business/Industry | Economics/Finance | Energy/Engineering | Health/Medicine | Military/Defense | Global -
BookPublication 2014Decision Making in Health and Medicine: Integrating Evidence and Values
Decision making in health care involves consideration of a complex set of diagnostic, therapeutic and …
Decision making in health care involves consideration of a complex set of diagnostic, therapeutic and prognostic uncertainties. Medical therapies have side effects, surgical interventions may lead to complications, and diagnostic tests can produce misleading results. Furthermore, patient values and service costs must be considered. Decisions in clinical and health policy require careful weighing of risks and benefits and are commonly a trade-off of competing objectives: maximizing quality of life vs maximizing life expectancy vs minimizing…
Health Outcomes | Government/Law | Decision Analysis | Probability/Bayes | Preferences/Values | Costing Methods | Test Performance | Value of Information | Mathematical Models | Cost-Effectiveness Analysis | Health Systems | Economics/Finance | Health/Medicine | Global | North America | Europe | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Decision Making/Leadership | Quantitative Literacy -
ReviewPublication 1982Decision Analysis: An Overview
This article, written for the non-decision analyst, describes what decision analysis is, what it can …
This article, written for the non-decision analyst, describes what decision analysis is, what it can and cannot do, why one should care to do this, and how one does it. Keeney describes decision analysis as "a formalization of common sense for decision problems which are too complex for informal use of common sense." He provides a more technical definition also, describing decision analysis as "a philosophy, articulated by a set of logical axioms, and a methodology…
Government/Law | Decision Analysis | Decision Theory | Preferences/Values | Policy/Regulation | Business/Industry | Economics/Finance | Energy/Engineering | Health/Medicine | Military/Defense | Science/Technology -
ArticlePublication 2021Rational Policymaking during a Pandemic
Policymaking during a pandemic can be extremely challenging. As COVID-19 is a new disease and …
Policymaking during a pandemic can be extremely challenging. As COVID-19 is a new disease and its global impacts are unprecedented, decisions are taken in a highly uncertain, complex, and rapidly changing environment. In such a context, in which human lives and the economy are at stake, the authors argue that using ideas and constructs from modern decision theory, even informally, will make policymaking a more responsible and transparent process.
Government/Law | Decision Theory | Priority Setting/Ethics | Infectious Diseases | Policy/Regulation | Health/Medicine | Science/Technology | Global -
ArticlePublication 2020Infectious Disease Pandemic Planning and Response: Incorporating Decision Analysis
During a pandemic, decisions must be made under rapidly changing, uncertain conditions. Despite advances in …
During a pandemic, decisions must be made under rapidly changing, uncertain conditions. Despite advances in analytical methods for gaining early situational awareness (i.e., of a disease’s transmissibility and severity) and for predicting the likely effectiveness of interventions, a major gap exists globally in terms of integrating this information in policy documents. The authors argue that mathematical and statistical models are important tools for pandemic planning and response. Once an outbreak of pandemic potential has been…
Government/Law | Decision Analysis | Mathematical Models | Health Systems | Health/Medicine | Global