Resources Repository
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ArticlePublication 2007Multiparameter Calibration of a Natural History Model of Cervical Cancer
This paper presents a two-step approach to model calibration of a comprehensive natural history model …
This paper presents a two-step approach to model calibration of a comprehensive natural history model of human papillomavirus (HPV) and cervical cancer. Using primary epidemiologic data from a longitudinal study of women in Brazil, a plausible range for each input parameter was identified that would produce model output within the 95% confidence intervals of the data. The authors then performed a simultaneous search over all input parameters to identify parameter sets that produced output consistent…
Mathematical Models | Latin America & Caribbean | Microsimulation | Calibration/Validation | Infectious Diseases | Chronic Disease/Risk | Health/Medicine -
ReviewPublication 2006Public Health Policy for Cervical Cancer Prevention: Decision Science, Economic Evaluation, & Mathematical Modeling
Several factors are changing the landscape of cervical cancer control, including a better understanding of …
Several factors are changing the landscape of cervical cancer control, including a better understanding of the natural history of human papillomavirus (HPV), reliable assays for detecting high-risk HPV infections, and a soon to be available HPV-16/18 vaccine. There are important differences in the relevant policy questions for different settings. By synthesizing and integrating the best available data, the use of modeling in a decision analytic framework can identify those factors most likely to influence outcomes,…
Mathematical Models | Global | Decision Analysis | Cost-Effectiveness Analysis | Infectious Diseases | Chronic Disease/Risk | Economics/Finance | Health/Medicine | Science/Technology -
ReviewPublication 2003Public Health Policy and Cost-Effectiveness Analysis
This chapter presents an overview of the uses for cost-effectiveness analysis and disease-simulation modeling to …
This chapter presents an overview of the uses for cost-effectiveness analysis and disease-simulation modeling to rigorously evaluate alternatives to reduce mortality from cervical cancer. Scientific advances have provided opportunities over time to revisit strategies for cervical cancer prevention. How to invest health resources wisely, such that public health benefits are maximized-and opportunity costs are minimized-is a critical question in the setting of enhanced cytologic screening methods, human papillomavirus DNA testing, and vaccine development. Developing sound…
Mathematical Models | Global | Cost-Effectiveness Analysis | Infectious Diseases | Chronic Disease/Risk | Health Systems | Policy/Regulation | Health/Medicine -
ReportPublication 2003ISPOR Task Force Report: Good Practice for Decision Analytic Modeling in Health-Care
This report describes the consensus of a task force convened to provide modelers with guidelines …
This report describes the consensus of a task force convened to provide modelers with guidelines for conducting and reporting modeling studies. While published more than a decade ago, it remains a clearly written resource for thinking about how to accurately describe the components of models and their quality. Criteria for assessing the quality of models fell into three areas: model structure, data used as inputs to models, and model validation. Several major themes cut across…
Mathematical Models | Global | Calibration/Validation | Health/Medicine | Science/Technology -
BookPublication 2003WHO Guide to Cost-Effectiveness Analysis
This 2003 guide provides a method of assessing the cost-effectiveness of health interventions for an …
This 2003 guide provides a method of assessing the cost-effectiveness of health interventions for an international audience. The authors aim to inform the policy maker and to maximize the generalizability of results across settings. Part I begins with a description of cost-effectiveness analysis. It then considers issues relating to study design, estimating costs, assessing health effects, discounting, uncertainty and sensitivity analysis, and reporting results. Part II provides examples to illustrate the principles in Part I. Detailed discussions…
Mathematical Models | Global | Priority Setting/Ethics | Costing Methods | Health Outcomes | Evidence Synthesis | Cost-Effectiveness Analysis | Health Systems | Health/Medicine