Resources Repository
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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…
Mathematical Models | Calibration/Validation | 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.…
Mathematical Models | Calibration/Validation | State-Transition | Microsimulation | Decision Analysis | Cost-Effectiveness Analysis | Child/Nutrition | Chronic Disease/Risk | Economics/Finance | Food/Agriculture | Health/Medicine -
ReviewPublication 2010Validation of Population-Based Disease Simulation Models: A Review
This article develops a framework for validating population-based chronic disease simulation models, and reviews the …
This article develops a framework for validating population-based chronic disease simulation models, and reviews the principles and methods for such models. While computer simulation models are used increasingly to support public health research and policy, questions about their quality persist. Based on the review, the authors formulated a set of recommendations for gathering evidence of model credibility. They find that evidence of model credibility derives from examining: 1) the process of model development, 2) the…
Mathematical Models | Calibration/Validation | Chronic Disease/Risk | Social Determinants | Health/Medicine -
ReviewPublication 2008Modeling Cervical Cancer Prevention in Developed Countries
Decision-analytic models are increasingly developed to simulate disease burden and interventions in different settings in …
Decision-analytic models are increasingly developed to simulate disease burden and interventions in different settings in order to evaluate the benefits and cost-effectiveness of primary and secondary interventions. This article is a review of mathematical models that have been used to evaluate HPV vaccination in the context of developed countries with existing screening programs. Despite variations in model assumptions and uncertainty in existing data, pre-adolescent vaccination of females in the setting of current screening practices has…
Mathematical Models | Calibration/Validation | State-Transition | Dynamic Transmission | Microsimulation | Infectious Diseases | Chronic Disease/Risk | Health/Medicine | Science/Technology -
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,…
Preferences/Values | Decision Psychology | Social Determinants | Culture/Society | Education/Labor | Health/Medicine | Science/Technology | Europe -
EditorialPublication 2018Combining A4R and MCDA in Priority Setting for Health
Multiple criteria decision analysis (MCDA) has been proposed as a method for determining the criteria …
Multiple criteria decision analysis (MCDA) has been proposed as a method for determining the criteria to be used in health technology assessment. A standard criticism of MCDA is that it lacks attention to securing legitimacy for its decisions. Accountability for reasonableness (A4R) proposes four conditions (publicity, relevance, revisability and enforcement) that must be met if legitimacy and fairness are to be ascribed to decisions about priority setting.The relevance condition of A4R has been criticized for…
Preferences/Values | Priority Setting/Ethics | Health/Medicine -
Working PaperPublication 2018Valuing Nonfatal Health Risk Reductions
This paper explores approaches for valuing nonfatal risk reductions associated with policy choices in low- …
This paper explores approaches for valuing nonfatal risk reductions associated with policy choices in low- and middle-income countries. The approach for valuation ideally would be based on estimates of individuals’ willingness to pay for changes in their own risks. However, high quality valuation research is not available for many nonfatal conditions even in high-income settings. Typically, two approaches are used either alone or in combination as rough proxies. The first involves applying an estimate of…
Preferences/Values | Priority Setting/Ethics | Health Outcomes | Decision Analysis | Benefit-Cost Analysis | Social Determinants | Policy/Regulation | Economics/Finance | Health/Medicine | Global | Critical Thinking/Analysis -
ReviewPublication 2018Patient Variability Seldom Assessed in Cost-Effectiveness Studies
This article in Medical Decision Making reviews 200 articles published in 2014 to determine whether …
This article in Medical Decision Making reviews 200 articles published in 2014 to determine whether each cost-effectiveness analysis (CEA) study reported subgroup results and collected data on the defining characteristics of these subgroups. Since estimates can vary across patient subgroups when characteristics are influenced by preferences, outcome risks, treatment effectiveness, life expectancy, or associated costs it can be important to track and report these differences. The authors identified whether any of the CEA subgroup results…
Preferences/Values | Cost-Effectiveness Analysis | Social Determinants | Health Systems | Policy/Regulation | Health/Medicine | Global -
ReviewPublication 2017Patients' Preferences in Cancer Treatment: Review of Discrete Choice Experiments
This study aimed to systematically review discrete choice experiments (DCEs) about patients’ preferences for cancer …
This study aimed to systematically review discrete choice experiments (DCEs) about patients’ preferences for cancer treatment and assessed the relative importance of outcome, process and cost attributes. A systematic literature review was conducted using PubMed and EMBASE to identify all DCEs investigating patients’ preferences for cancer treatment between January 2010 and April 2016. Attributes were classified into outcome, process and cost attributes, and their relative importance was assessed. A total of 28 DCEs were identified.…
Preferences/Values | Health Outcomes | Decision Analysis | Cost-Effectiveness Analysis | Chronic Disease/Risk | Health Systems | Economics/Finance | Health/Medicine | North America | Europe