Resources Repository
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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…
Calibration/Validation | Science/Technology | Mathematical Models | State-Transition | Dynamic Transmission | Microsimulation | Infectious Diseases | Chronic Disease/Risk | Health/Medicine -
ReviewPublication 2008Cost-Effectiveness of Vaccination: Review of Modelling Approaches
This review examines the modelling approaches used in cost-effectiveness analyses (CEAs) of vaccination programs. After …
This review examines the modelling approaches used in cost-effectiveness analyses (CEAs) of vaccination programs. After overviewing the key attributes of models used in CEAs, a framework for categorizing theoretical models is presented. Categories are based on three main attributes: static/dynamic; stochastic/deterministic; and aggregate/individual based.
Cost-Effectiveness Analysis | Science/Technology | Mathematical Models | State-Transition | Dynamic Transmission | Microsimulation | Dynamic Simulation | Infectious Diseases | Health/Medicine | Global -
ArticlePublication 2007Modeling HPV and Cervical Cancer in the U.S. for Analyses of Screening and Vaccination
This paper discusses a model of human papillomavirus (HPV) and cervical cancer that incorporates uncertainty …
This paper discusses a model of human papillomavirus (HPV) and cervical cancer that incorporates uncertainty about the natural history of disease that was used to provide quantitative insight into U.S. policy choices for cervical cancer prevention. The authors developed a stochastic microsimulation of cervical cancer that distinguishes different HPV types by their incidence, clearance, persistence, and progression. For each set of sampled input parameters, likelihood-based goodness-of-fit (GOF) scores were computed based on comparisons between model-predicted…
Calibration/Validation | Science/Technology | Microsimulation | Infectious Diseases | Chronic Disease/Risk | Clinical Care | Health/Medicine | North America -
ReviewPublication 2004Decision Analysis Applications in Operations Research
This article reviews trends and developments in decision analysis applications, based primarily on a survey of …
This article reviews trends and developments in decision analysis applications, based primarily on a survey of decision analysis applications published in the period 1990–2001 in major English-language operations research and closely related journals. It serves as a guide to those interested in recent applications in specific areas or in applications that illustrate the use of particular methods. The authors identify and discuss noteworthy trends in, and developments affecting, published applications, including those in computer software and…
Decision Analysis | Business/Industry | Operations Research | 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…
Calibration/Validation | Science/Technology | Mathematical Models | Health/Medicine | Global