Resources Repository
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GuidelinesPublication 2013Decision and Simulation Modeling in Systematic Reviews
The purpose of this review is to provide guidance for determining when incorporating a decision-analytic …
The purpose of this review is to provide guidance for determining when incorporating a decision-analytic model alongside a systemic review would be of added value for decision making purposes. The purpose of systematic reviews is to synthesize the current scientific literature on a particular topic in the form of evidence reports and technology assessments to assist public and private organizations in developing strategies that improve the quality of health care and decision making. However, there…
Decision Analysis | Health/Medicine | Evidence Synthesis | Mathematical Models | Infectious Diseases | Child/Nutrition | Chronic Disease/Risk | North America -
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…
Decision Analysis | Health/Medicine | Mathematical Models -
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.…
Value of Information | Health/Medicine | Mathematical Models | Calibration/Validation