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…
Decision Theory | Decision Analysis | State-Transition | Costing Methods | Health Outcomes | Infectious Diseases | Policy/Regulation | Economics/Finance | Government/Law | Health/Medicine | Middle East & North Africa -
ReviewPublication 2021Review of Web-Based Tools for Value-of-Information Analysis
Value-of-information analysis (VOI) is an analytic approach used to inform research priorities, guide clinical trial …
Value-of-information analysis (VOI) is an analytic approach used to inform research priorities, guide clinical trial design, and provide information for decisions about reimbursement. The authors review existing web-based tools to facilitate VOI calculations. These include Sheffield Accelerated Value of Information (SAVI), the web interface to the BCEA (Bayesian Cost-Effectiveness Analysis) R package (BCEAweb), Rapid Assessment of Need for Evidence (RANE), and Value of Information for Cardiovascular Trials and Other Comparative Research (VICTOR).
Decision Theory | Value of Information | Priority Setting/Ethics | Cost-Effectiveness Analysis | Economics/Finance | Health/Medicine -
ArticlePublication 2022Emerging Therapies for COVID-19: The Value of Information From More Clinical Trials
The COVID-19 pandemic necessitated time-sensitive policy and implementation decisions regarding new therapies in the face …
The COVID-19 pandemic necessitated time-sensitive policy and implementation decisions regarding new therapies in the face of uncertainty. This study aimed to quantify consequences of approving therapies or pursuing further research. The authors used a cohort state-transition model for hospitalized patients with COVID-19 to estimate quality-adjusted life-years (QALYs) and costs associated with multiple drug regimens and usual care. For each they assessed immediate approval, use only in research, emergency use authorization or reject. They conducted cost-effectiveness…
State-Transition | Value of Information | Benefit-Cost Analysis | Infectious Diseases | Policy/Regulation | Economics/Finance | North America | Europe -
ReviewPublication 2016Remembering Howard Raiffa
Howard Raiffa (1924-2016) had a profound influence on all aspects of the decision sciences and on …
Howard Raiffa (1924-2016) had a profound influence on all aspects of the decision sciences and on the fields of systems analysis and operations research. He guided the introduction of the decision sciences into numerous fields such as business, medicine, public health, the environmental sciences, and law, and was instrumental in building world-recognized institutions such as the Kennedy School at Harvard and the International Institute for Applied Systems Analysis near Vienna, Austria. This article is a thoughtful tribute by…
Decision Theory | Decision Analysis | Preferences/Values | Operations Research | Business/Industry | Economics/Finance | Health/Medicine | Military/Defense | North America -
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…
Decision Analysis | Value of Information | Risk Analysis | Social Determinants | Environmental Health | Policy/Regulation | Climate/Environment | Government/Law -
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 -
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…
Decision Theory | Decision Analysis | Probability/Bayes | Preferences/Values | Operations Research | Business/Industry | Economics/Finance | Energy/Engineering | 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 -
ReviewPublication 2005Implications of Modern Decision Science for Military Decision-Support Systems
This review monograph was prepared in response to a request from the United States Air …
This review monograph was prepared in response to a request from the United States Air Force Research Laboratory for a study of modern decision science that would aid in its planning of research programs and, more specifically, developing methods and tools for decision support. The emphasis is on relatively high-level decisionmaking rather than, say, that of pilots or intelligence analysts in the midst of real-time operations. They focus largely on what the military refers to as…
Decision Theory | Decision Analysis | Decision Psychology | Military/Defense | North America