Resources Repository
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GuidelinesPublication 2012Modeling Good Research Practices - Overview: A Report of the ISPOR-SMDM Modeling Task Force-1
This paper provides an overview of the work of the joint Task Force between the …
This paper provides an overview of the work of the joint Task Force between the International Society for Pharmacoeconomics and Outcomes Research (ISPOR) and the Society for Medical Decision Making (SMDM), provides the overarching recommendations, and discusses future work that is needed. The audience for these papers includes anyone who build models, stakeholders who utilize their results, and those concerned with the use of models to support decision making. This article is part 1 of…
Decision Analysis | State-Transition | Costing Methods | Health Outcomes | Value of Information | Mathematical Models | Dynamic Transmission | Microsimulation | Calibration/Validation | Dynamic Simulation | Infectious Diseases | Health/Medicine -
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.…
Decision Analysis | State-Transition | Mathematical Models | Microsimulation | Calibration/Validation | Cost-Effectiveness Analysis | Child/Nutrition | Chronic Disease/Risk | Economics/Finance | Food/Agriculture | Health/Medicine -
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.
Probability/Bayes | Decision Analysis | Preferences/Values | Priority Setting/Ethics | Test Performance | Value of Information | Cost-Effectiveness Analysis | Policy/Regulation | Government/Law | Health/Medicine | 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…
Probability/Bayes | Decision Analysis | Decision Theory | Preferences/Values | Operations Research | Business/Industry | Economics/Finance | Energy/Engineering | 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…
Probability/Bayes | Decision Analysis | Decision Theory | Preferences/Values | Costing Methods | Health Outcomes | Value of Information | Mathematical Models | Cost-Effectiveness Analysis | Business/Industry | Economics/Finance | Government/Law | Health/Medicine -
ArticlePublication 2006Can Discrete Event Simulation be of Use in Modeling Major Depression?
This article, published in Cost Effectiveness and Resource Allocation, reviews the published literature on Markov …
This article, published in Cost Effectiveness and Resource Allocation, reviews the published literature on Markov models in depression and identified potential limitations in using this particular modelling approach in this disease area. Additionally, the authors develop a “Discrete Event Simulation” (DES) model to investigate the benefits and drawbacks of this simulation method compared with Markov modelling techniques. The findings of this study indicate that the most important limitation of using Markov models in depression is…
Decision Analysis | State-Transition | Microsimulation | Mental Health | Health/Medicine -
Tutorial/PrimerPublication, Teaching Resource 1980Threshold Approach to Clinical Decision Making
This classic paper provides a "tutorial" for students learning about diagnostic testing, probability revision, and …
This classic paper provides a "tutorial" for students learning about diagnostic testing, probability revision, and how to calculate thresholds for testing, treatment, and no treatment. The authors describe how a physician's estimate of the probability that a patient has a particular disease is a principal factor in the determination of whether to withhold treatment, obtain more data by testing, or treat without subjecting the patient to the risks of further diagnostic tests. Using the concepts of decision analysis,…
Probability/Bayes | Decision Analysis | Test Performance | Value of Information | Health/Medicine -
Working PaperPublication 2024Economic Evaluation Primer
Economic evaluation is a powerful tool, encouraging the systematic collection and assessment of the evidence …
Economic evaluation is a powerful tool, encouraging the systematic collection and assessment of the evidence needed to support sound policy decisions. In low- and middle-income countries, where resources are especially scarce and needs are very great, such decisions are exceptionally difficult. In these settings, economic evaluation can be particularly useful in determining how to best improve health and welfare. Typically, cost-effectiveness analysis (CEA) is used to prioritize interventions within the health care sector. This approach…
Benefit-Cost Analysis | Priority Setting/Ethics | Costing Methods | Health Outcomes | Cost-Effectiveness Analysis | Policy/Regulation | Global -
Teaching PackWeb Portal, Teaching Resource 2024Teaching Pack: Amua Modeling Platform
This teaching pack, curated by the Center for Health Decision Science, provides students with a …
This teaching pack, curated by the Center for Health Decision Science, provides students with a hands-on opportunity to gain experience to use the open-access decision science software, Amua. These resources are intended for students with a basic understanding of decision science. Materials include Amua introductory videos, basic decision modeling tutorials for decision trees and Markov models, and case-based tutorials based on analyses in published literature. About Amua Amua, the Swahili word meaning “decide”/“solve”, is an…
Decision Analysis | Mathematical Models | Graduate | Doctoral | Professional