Resources Repository
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Lesson/ModuleWeb Portal, Teaching Resource 2016Educational Module: Drug-Induced Birth Defects
Using the currently topical issue of whether SSRI (Selective Serotonin Reuptake Inhibitor) anti-depressants cause birth …
Using the currently topical issue of whether SSRI (Selective Serotonin Reuptake Inhibitor) anti-depressants cause birth defects, the module aims to provide students with a general understanding of the following: (1) human risk factor causation as determined by epidemiologic methods; (2) the limits of non-human toxicological evidence to the assessment of causality in humans; (3) the importance of pharmacovigilance for all medications; (4) special difficulties in identifying causes of human birth defects; (5) the importance of…
Risk Analysis | Government/Law | Health Outcomes | Evidence Synthesis | Child/Nutrition | Chronic Disease/Risk | Health/Medicine | Science/Technology | Global | North America | College | Graduate | Doctoral | Critical Thinking/Analysis | Quantitative Literacy -
Lesson/ModuleWeb Portal, Teaching Resource 2016Educational Module: Vaccines
This module engages students in learning about association and causation in the context of vaccines, …
This module engages students in learning about association and causation in the context of vaccines, their side effects, and legal issues that could arise as a result of side effects associated with vaccinations. The module employs five case studies. In the first two case studies, a child receives a vaccination, and students must determine whether an event (vaccination) causes a side effect in the child. In the third case study, a child who has not…
Risk Analysis | Government/Law | Health Outcomes | Technology Assessment | Infectious Diseases | Health Systems | Health/Medicine | Science/Technology | Global | North America | College | Graduate | Doctoral | Critical Thinking/Analysis | Decision Making/Leadership | Quantitative Literacy -
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 | Military/Defense | State-Transition | Microsimulation | Dynamic Simulation | Energy/Engineering | Health/Medicine | Science/Technology -
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 | Government/Law | Probability/Bayes | Preferences/Values | Costing Methods | Health Outcomes | Test Performance | Value of Information | Decision Analysis | 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 2012Applying Decision Science to Managing National Forests
This publication is an example of the application of decision science to the management of …
This publication is an example of the application of decision science to the management of federal public forests, in particular to meet sustainability goals and multiple use regulations. Through three case studies, the authors describe four stages of a decision analytic approach: problem structuring (framing the problem and defining objectives and evaluation criteria), problem analysis (defining alternatives, evaluating likely consequences, identifying key uncertainties, and analyzing tradeoffs), decision point (identifying the preferred alternative), and implementation and monitoring…
Risk Analysis | Government/Law | Value of Information | Decision Analysis | Social Determinants | Environmental Health | Policy/Regulation | Climate/Environment -
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 | Government/Law | Decision Theory | Probability/Bayes | Preferences/Values | Costing Methods | Health Outcomes | Value of Information | Decision Analysis | Cost-Effectiveness Analysis | Business/Industry | Economics/Finance | Health/Medicine -
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 | Government/Law | Priority Setting/Ethics | Evidence Synthesis | Technology Assessment | Environmental Health | Health Systems | Policy/Regulation | Business/Industry | Climate/Environment | Economics/Finance | Energy/Engineering | Health/Medicine | North America