Resources Repository
-
ReportPublication 2021What It Means to Be a Science-Literate Citizen in a Digital World
Science literacy is often held up as crucial for avoiding science-related misinformation and enabling more …
Science literacy is often held up as crucial for avoiding science-related misinformation and enabling more informed individual and collective decision-making. But research has not yet examined whether science literacy actually enables this, nor what skills it would need to encompass to do so. This report addresses three questions to outline what it should mean to be science literate in today’s world: (1) How should we conceptualize science literacy? (2) How can we achieve this science…
Decision Psychology | Preferences/Values | Social Determinants | Culture/Society | Energy/Engineering | Education/Labor | Health/Medicine | Science/Technology | Global | North America -
ReportPublication 2017Communicating Science Effectively: A Research Agenda
Science and technology are embedded in virtually every aspect of modern life. As a result, …
Science and technology are embedded in virtually every aspect of modern life. As a result, people face an increasing need to integrate information from science with their personal values and other considerations as they make important life decisions about medical care, the safety of foods, what to do about climate change, and many other issues. Communicating science effectively, however, is a complex task and an acquired skill. Moreover, the approaches to communicating science that will…
Decision Psychology | Preferences/Values | Priority Setting/Ethics | Social Determinants | Climate/Environment | Culture/Society | Energy/Engineering | Education/Labor | Health/Medicine | Science/Technology | North America -
ReviewPublication 2021European News Consumers' Perceptions of Misinformation
This study indicated that news users across ten different European countries are quite concerned about …
This study indicated that news users across ten different European countries are quite concerned about misinformation in their information environment. Respondents were most likely to associate politicians, corporations, and foreign actors with misinformation. They perceived misinformation to be most common for topics like immigration, the economy, and the environment. This offered support for the increasingly more relative and politicized status of facts in people’s credibility perceptions. Yet, differences across sources and issues were relatively modest,…
Decision Psychology | Preferences/Values | Social Determinants | Culture/Society | Education/Labor | Health/Medicine | Science/Technology | Europe -
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 Psychology | Decision Theory | 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