Resources Repository
-
GuidelinesPublication 2012State-Transition Modeling: A Report of the ISPOR-SMDM Modeling Task Force-3
State-transition modeling includes both Markov model cohort simulation as well as individual-based (first-order Monte Carlo) …
State-transition modeling includes both Markov model cohort simulation as well as individual-based (first-order Monte Carlo) microsimulation. These models have been used in many different populations and diseases, and their applications range from personalized health care strategies to public health programs. Most frequently, state-transition models are used in the evaluation of risk factor interventions, screening, diagnostic procedures, treatment strategies, and disease management programs. Recommendations are made on choice of model type (cohort vs. individual-level model), model…
Mathematical Models | State-Transition | Microsimulation | Health/Medicine -
GuidelinesPublication 2012Conceptualizing a Model: A Report of the ISPOR-SMDM Modeling Task Force-2
This article provides a series of consensus-based best practices regarding the process of model conceptualization, …
This article provides a series of consensus-based best practices regarding the process of model conceptualization, specifically when models are used to inform medical decisions and health-related resource allocation. The authors divide the conceptualization process into two distinct components: the conceptualization of the problem, which converts knowledge of the health care process or decision into a representation of the problem, followed by the conceptualization of the model itself, which matches the attributes and characteristics of a…
Mathematical Models | Decision Analysis | Health/Medicine -
GuidelinesPublication 2012Dynamic Transmission Modeling: A Report of the ISPOR-SMDM Modeling Task Force-5
This paper reports the consensus-based guidelines on dynamic transmission modeling in health care. The transmissible …
This paper reports the consensus-based guidelines on dynamic transmission modeling in health care. The transmissible nature of communicable diseases is what sets them apart from other diseases modeled by health economists. The probability of a susceptible individual becoming infected at any one point in time (the force of infection) is related to the number of infectious individuals in the population, will change over time, and will feed back into the future force of infection. These…
Mathematical Models | Dynamic Transmission | Dynamic Simulation | Infectious Diseases | 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…
Mathematical Models | Evidence Synthesis | Calibration/Validation | Dynamic Simulation | 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.…
Mathematical Models | Value of Information | Calibration/Validation | Health/Medicine -
ArticlePublication 2012Expert Elicitation of VSL
This article uses expert elicitation to address the monetary value of avoided premature mortality, which …
This article uses expert elicitation to address the monetary value of avoided premature mortality, which typically dominates the quantified benefits of air pollution regulations. Formal expert elicitation methods are one means of characterizing associated uncertainties. The authors undertake a pilot study that elicits quantitative probabilistic judgments of uncertainties in value per statistical life (VSL) estimates for use in an air pollution context. The two-stage elicitation addresses uncertainties in both a base case VSL for a…
Benefit-Cost Analysis | Preferences/Values | Policy/Regulation | Climate/Environment | College | Graduate | Critical Thinking/Analysis -
ReportPublication 2012Mortality Risks in Environment, Health and Transport
This report presents a major meta-analysis of value of a statistical life (VSL) estimates derived …
This report presents a major meta-analysis of value of a statistical life (VSL) estimates derived from surveys around the world. The analysis seeks to explain the differences in the estimates, for example across countries. Differences in incomes and the magnitude of the risk reduction were found to be the factors having the strongest impact, but numerous other policy-relevant factors are also important. The report also presents advice on how VSL estimates can be best used…
Benefit-Cost Analysis | Preferences/Values | Policy/Regulation | Climate/Environment | College | Graduate | Critical Thinking/Analysis -
BookPublication 2012Elgar Companion to Health Economics, 2nd Edition
This collection brings together more than 50 contributions from some of the most influential researchers in …
This collection brings together more than 50 contributions from some of the most influential researchers in health economics. It covers theoretical and empirical issues in health economics, with a range of material on equity and efficiency in health care systems, health technology assessment and issues of concern for developing countries. This revised second edition is expanded to include four new chapters, while all existing chapters have been extensively updated. The Elgar Companion to Health Economics, Second Edition…
Costing Methods | Decision Theory | Probability/Bayes | Preferences/Values | Priority Setting/Ethics | Value of Information | Cost-Effectiveness Analysis | Health Systems | Policy/Regulation | Economics/Finance | Health/Medicine | Global -
ArticlePublication 2011Valuing Mortality Risk Reductions: Progress and Challenges
This article focuses on the value of mortality risk reduction, an important component of the …
This article focuses on the value of mortality risk reduction, an important component of the benefits estimates for environmental policies. In recent years, the number, scope, and quality of valuation studies have increased dramatically. Revealed-preference studies of wage compensation for occupational risks, on which analysts have primarily relied, have benefited from improved data and statistical methods. Stated-preference research has improved methodologically and expanded dramatically. In these studies, researchers have explored many issues concerning the validity…
Benefit-Cost Analysis | Preferences/Values | Policy/Regulation | Climate/Environment | College | Graduate | Critical Thinking/Analysis