Resources Repository
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ReviewPublication 2011Simulation Models of Obesity: A Review of the Literature
Simulation models combine information from a variety of sources to provide a useful tool for …
Simulation models combine information from a variety of sources to provide a useful tool for examining how the effects of obesity unfold over time and impact population health. They can aid in the understanding of the complex interaction of the drivers of diet and activity and their relation to health outcomes. This paper provided an overview of different types of simulation models used to evaluate the potential impact of policies to address the obesity epidemic.…
Mathematical Models | Decision Analysis | Calibration/Validation | Food/Agriculture | Health/Medicine | State-Transition | Microsimulation | Cost-Effectiveness Analysis | Child/Nutrition | Chronic Disease/Risk | Economics/Finance -
ReviewPublication 2016Decision Support for Infectious Disease Control
This report from RAND reviews decision-support tools, including models and nonmodeling approaches, that are relevant to …
This report from RAND reviews decision-support tools, including models and nonmodeling approaches, that are relevant to infectious disease prevention, detection, and response and aligns these tools with real-world policy questions that the tools can help address. This overview is designed to help modelers and other technical experts understand the questions that policymakers will raise and the decisions they must make. The report also presents policymakers with the capabilities and limitations of the different tools that may…
Dynamic Simulation | Mathematical Models | Government/Law | Health/Medicine | State-Transition | Dynamic Transmission | Microsimulation | Infectious Diseases | Global Governance | 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…
Mathematical Models | Decision Analysis | Government/Law | Health/Medicine | Probability/Bayes | Preferences/Values | Costing Methods | Health Outcomes | Test Performance | Value of Information | Cost-Effectiveness Analysis | Health Systems | Economics/Finance | Global | North America | Europe | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Decision Making/Leadership | Quantitative Literacy -
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…
Mathematical Models | Decision Analysis | Government/Law | Health/Medicine | Decision Theory | Probability/Bayes | Preferences/Values | Costing Methods | Health Outcomes | Value of Information | Cost-Effectiveness Analysis | Business/Industry | Economics/Finance -
ReviewPublication 2001Modeling for Health Care and Other Policy Decisions: Uses, Roles and Validity
This is a review article of the role of modeling approaches to guide decision making …
This is a review article of the role of modeling approaches to guide decision making in health care and other domains. The role of models to support recommendations on the cost-effective use of medical technologies and pharmaceuticals is controversial. At the heart of the controversy is the degree to which experimental or other empirical evidence should be required prior to model use. The authors argue that the controversy stems in part from a misconception that…
Mathematical Models | Technology Assessment | Government/Law | Health/Medicine | Priority Setting/Ethics | Evidence Synthesis | Environmental Health | Health Systems | Policy/Regulation | Business/Industry | Climate/Environment | Economics/Finance | Energy/Engineering | North America -
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…
Mathematical Models | Technology Assessment | Decision Analysis | Health/Medicine | Decision Psychology | Preferences/Values | Costing Methods | Evidence Synthesis | Test Performance | Value of Information | Benefit-Cost Analysis | Cost-Effectiveness Analysis -
EditorialPublication 2020Waiting for Certainty on COVID-19 Antibody Tests — At What Cost?
This perspective anticipates the availability of serologic antibody testing and considers its potential usefulness in mitigation …
This perspective anticipates the availability of serologic antibody testing and considers its potential usefulness in mitigation policy to reduce COVID-19 transmission. For example: Could we screen for serologic antibodies as a proxy for possible immunity and identify people who could return to the workplace with less severe mitigation measures? The authors acknowledge the uncertainties raised by many policy actors, including the WHO, such as, "Do antibodies confer immunity and, if so, for how long? How accurate is…
Technology Assessment | Government/Law | Health/Medicine | Probability/Bayes | Test Performance | Infectious Diseases | Health Systems | Policy/Regulation | Global | North America -
BookPublication 2017What's In, What's Out: Designing Benefits for Universal Health Coverage
Many low- and middle-income countries now aspire to universal health coverage, where governments ensure that …
Many low- and middle-income countries now aspire to universal health coverage, where governments ensure that all people have access to the quality health services they need without risk of impoverishment. But for universal health coverage to become reality, the health services offered must be consistent with the funds available-and this implies tough everyday choices for policymakers. This publication argues that the creation of an explicit health benefits plan-a defined list of services that are and are…
Technology Assessment | Government/Law | Health/Medicine | Priority Setting/Ethics | Health Outcomes | Evidence Synthesis | Cost-Effectiveness Analysis | Health Systems | Policy/Regulation | Economics/Finance | Science/Technology | Global -
ReviewPublication 2017Validation and Calibration of Structural Models that Combine Information from Multiple Sources
This is a review of calibration and validation methods in mathematical modeling. Such models that …
This is a review of calibration and validation methods in mathematical modeling. Such models that attempt to capture structural relationships between their components and combine information from multiple sources are increasingly used in medicine. The authors provide an overview of methods for model validation and calibration and survey studies comparing alternative approaches. Model validation entails a confrontation of models with data, background knowledge, and other models, and can inform judgments about model credibility. Calibration involves…
Mathematical Models | Calibration/Validation | Health/Medicine