Resources Repository
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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…
Operations Research | Decision Theory | Preferences/Values | Decision Analysis | Business/Industry | Economics/Finance | Health/Medicine | Military/Defense | North America -
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 | Priority Setting/Ethics | Value of Information | Cost-Effectiveness Analysis | Economics/Finance | Health/Medicine -
GuidelinesPublication, Teaching Resource 2018Behavioral Economics Guide 2018
The 2018 Behavioral Economics Guide provides an introduction to behavioral economics, a review of developments …
The 2018 Behavioral Economics Guide provides an introduction to behavioral economics, a review of developments in the field, insights from practitioners, and general resources such as postgraduate programs and scholarly journals. This is the fifth edition of this now yearly publication. The 2018 edition features an introduction written by Robert Cialdini. Behavioraleconomics.com is the official home of the Behavioral Economics Guide. The guide is downloadable free of charge from the website.
Decision Theory | Decision Psychology | Preferences/Values | College | Graduate | Doctoral | Professional -
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…
Calibration/Validation | Mathematical Models | Health/Medicine -
GuidelinesPublication 2012Model Transparency and Validation: A Report of the ISPOR-SMDM Modeling Task Force-7
This paper discusses how to improve trust in the use of health care models through …
This paper discusses how to improve trust in the use of health care models through validation and transparency. Validation involves face validity (wherein experts evaluate model structure, data sources, assumptions, and results), verification or internal validity (check accuracy of coding), cross validity (comparison of results with other models analyzing same problem), external validity (comparing model results to real-world results), and predictive validity (comparing model results with prospectively observed events). Recommendations are provided for nontechnical description…
Calibration/Validation | Costing Methods | Health Outcomes | Mathematical Models | Health/Medicine -
GuidelinesPublication 2012Modeling Using Discrete Event Simulation: A Report of the ISPOR-SMDM Modeling Task Force-4
This paper reports on consensus-based guidelines on the application of DES in a health care …
This paper reports on consensus-based guidelines on the application of DES in a health care setting, covering the range of issues to which DES can be applied. Discrete event simulation (DES) is a form of computer-based modeling that provides an intuitive and flexible approach to representing complex systems. The article works through the different stages of the modeling process: structural development, parameter estimation, model implementation, model analysis, and representation and reporting. Recommendations are made for…
Calibration/Validation | Evidence Synthesis | Mathematical Models | Dynamic Simulation | Health/Medicine -
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…
Calibration/Validation | Costing Methods | Health Outcomes | Value of Information | Mathematical Models | State-Transition | Dynamic Transmission | Microsimulation | Dynamic Simulation | Decision Analysis | Infectious Diseases | Health/Medicine -
GuidelinesPublication 2012Model Parameter Estimation and Uncertainty Analysis: A Report of the ISPOR-SMDM Modeling Task Force-6
This paper discusses methods for the reporting of uncertainty, both in terms of deterministic sensitivity …
This paper discusses methods for the reporting of uncertainty, both in terms of deterministic sensitivity analysis techniques and probabilistic methods. Stochastic (first-order) uncertainty is distinguished from both parameter (second-order) uncertainty and from heterogeneity, with structural uncertainty relating to the model itself forming another level of uncertainty. The article describes the process of estimating model inputs, whether these are point estimates or distributions. It also explores the link between parameter uncertainty, decision uncertainty, and value-of-information analysis.…
Calibration/Validation | Value of Information | Mathematical Models | Health/Medicine -
GuidelinesPublication 2011HPV Vaccine Introduction in LMIC's: Guidance on the Use of Cost-Effectiveness Models
This article is a literature review of HPV vaccination models suitable for low-income and middle-income …
This article is a literature review of HPV vaccination models suitable for low-income and middle-income country use to provide information about the feasibility of using such models in a developing country setting. The authors evaluated models in terms of their capacity, requirements, limitations and comparability. Their literature review identified six HPV vaccination models suitable for low-income and middle-income country use and representative of the literature in terms of provenance and model structure. Each model was…
Calibration/Validation | Mathematical Models | Cost-Effectiveness Analysis | Infectious Diseases | Chronic Disease/Risk | Health Systems | Clinical Care | Health/Medicine | Science/Technology | Global