Resources Repository
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GuidelinesPublication 2013Economic Analyses to Support Decisions about HPV Vaccination in Low- and Middle-Income Countries: Consensus Report and Guide
Low- and middle-income countries need to consider economic issues such as cost-effectiveness, affordability and sustainability …
Low- and middle-income countries need to consider economic issues such as cost-effectiveness, affordability and sustainability before introducing a program for human papillomavirus (HPV) vaccination. However, many such countries lack the technical capacity and data to conduct their own analyses. This report describes the consensus of an expert group convened by the World Health Organization, prioritizing key issues to be addressed when considering economic analyses to support HPV vaccine introduction in these countries. The expert group…
Cost-Effectiveness Analysis | Costing Methods | Health Outcomes | Infectious Diseases | Chronic Disease/Risk | Health Systems | Economics/Finance | Health/Medicine | Science/Technology | Sub-Saharan Africa | Middle East & North Africa | Latin America & Caribbean | Asia & Pacific -
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 2011Calibrating Models in Economic Evaluation
This article provides guidance on the theoretical underpinnings of different calibration methods used for mathematical …
This article provides guidance on the theoretical underpinnings of different calibration methods used for mathematical models for economic evaluations. The calibration process is divided into seven steps and different potential methods at each step are discussed, focusing on the particular features of disease models in economic evaluation. The seven steps are (i) Which parameters should be varied in the calibration process? (ii) Which calibration targets should be used? (iii) What measure of goodness of fit…
Calibration/Validation | Mathematical Models | Health/Medicine