Resources Repository
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ArticlePublication 2010Empirically Evaluating Decision-Analytic Models
To augment model credibility, evaluation via comparison to independent, empirical studies is recommended. The authors …
To augment model credibility, evaluation via comparison to independent, empirical studies is recommended. The authors developed a structured reporting format for model evaluation and conducted a structured literature review to characterize current model evaluation recommendations and practices. As an illustration, they applied the reporting format to evaluate a microsimulation of human papillomavirus and cervical cancer. The model's outputs and uncertainty ranges were compared with multiple outcomes from a study of long-term progression from high-grade precancer…
Calibration/Validation | Chronic Disease/Risk | Microsimulation | Infectious Diseases | Health/Medicine | North America -
ArticlePublication 2009Cost-Effectiveness of HPV Vaccination and Cervical Cancer Screening in Women Aged 30+ Years in the U.S.
The objective of the study was to assess the health and economic outcomes of HPV …
The objective of the study was to assess the health and economic outcomes of HPV vaccination in older U.S. women. The authors conducted a cost-effectiveness analysis with an empirically calibrated model using data from published literature; interventions included HPV vaccination added to screening strategies that differ by test (cytology or HPV DNA testing), frequency, and start age versus screening alone.They found that in the context of annual or biennial screening, HPV vaccination of women aged…
Cost-Effectiveness Analysis | Chronic Disease/Risk | Microsimulation | Infectious Diseases | Clinical Care | Economics/Finance | Health/Medicine | Science/Technology | North America -
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 | Chronic Disease/Risk | Microsimulation | Infectious Diseases | Clinical Care | Health/Medicine | Science/Technology | North America