Resources Repository
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ReportPublication 2016Modeling to Inform Strategies to Improve Population Health
This workshop report summarizes a workshop convened by the Institute of Medicine to explore the potential …
This workshop report summarizes a workshop convened by the Institute of Medicine to explore the potential uses of simulation and other types of modeling for improving health. Participants worked to identify how modeling could inform population health decision making (selecting and refining potential strategies, ranging from interventions to investments) based on lessons learned from models that have been, or have not been, used successfully, opportunities and barriers to incorporating models into decision making, and data needs and…
Mathematical Models | Business/Industry | State-Transition | Microsimulation | Dynamic Simulation | Decision Analysis | Chronic Disease/Risk | Environmental Health | Health Systems | Policy/Regulation | Climate/Environment | Government/Law | Health/Medicine | North America -
Lesson/ModuleWeb Portal, Teaching Resource 2016Educational Module: Models and Practice
This module is an introduction to models and to their role in regulatory decision-making, and …
This module is an introduction to models and to their role in regulatory decision-making, and is intended for non-scientists from a variety of different backgrounds including law, journalism, public policy, and business. The module covers three main themes: (1) Core lessons on using models for policy making; (2) Key questions on the art and science of modeling including how models differ from other scientific techniques; and (3) Key ideas on using models in policy-making including how…
Mathematical Models | Business/Industry | Priority Setting/Ethics | Environmental Health | Policy/Regulation | Climate/Environment | Government/Law | Health/Medicine | Science/Technology | Global | North America | College | Graduate | Doctoral | Critical Thinking/Analysis | Conceptual Mapping | Decision Making/Leadership -
ReviewPublication 2015Agent-Based Models and Microsimulation
This article reviews the principles and applications of agent-based models (ABMs). ABMs are computational models …
This article reviews the principles and applications of agent-based models (ABMs). ABMs are computational models used to simulate the actions and interactions of “agents” within a system. Usually, each agent has a set of rules for how he or she responds to the environment and to other agents. These models are used to gain insight into the emergent behavior of complex systems with many agents, in which the emergent behavior depends upon the micro-level behavior…
Mathematical Models | Energy/Engineering | State-Transition | Microsimulation | Dynamic Simulation | Health/Medicine | Military/Defense | Science/Technology -
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 | Food/Agriculture | State-Transition | Microsimulation | Calibration/Validation | Decision Analysis | Cost-Effectiveness Analysis | Child/Nutrition | Chronic Disease/Risk | Economics/Finance | 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…
Mathematical Models | Business/Industry | Decision Theory | Probability/Bayes | Preferences/Values | Costing Methods | Health Outcomes | Value of Information | Decision Analysis | Cost-Effectiveness Analysis | Economics/Finance | Government/Law | Health/Medicine