ArticleScientific reports2017
Impact of model calibration on cost-effectiveness analysis of cervical cancer prevention.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A Systematic Review of Microsimulation Models in Cardiometabolic Disease: Model Calibration and Validation.Applied health economics and health policy · 2026Pooled it
- A Scoping Review on Calibration Methods for Cancer Simulation Models.Medical decision making : an international journal of the Society for Medical Decision Making · 2025Article
- Calibration of transition probabilities to model survival of adjuvant trastuzumab for early breast cancer in Indonesia.International journal of technology assessment in health care · 2025Article
- Cost Effectiveness of a Shorter Moxifloxacin Based Regimen for Treating Drug Sensitive Tuberculosis in India.Tropical medicine and infectious disease · 2022Article
- Farm management practices, biosecurity and influenza a virus detection in swine farms: a comprehensive study in colombia.Porcine health management · 2022Article
- New statistical model for misreported data with application to current public health challenges.Scientific reports · 2021Article
- miR-362-3p Targets Orosomucoid 1 to Promote Cell Proliferation, Restrain Cell Apoptosis and Thereby Mitigate Hypoxia/Reoxygenation-Induced Cardiomyocytes Injury.Cardiovascular toxicology · 2021Article
- Online Cost-Effectiveness ANalysis (OCEAN): a user-friendly interface to conduct cost-effectiveness analyses for cervical cancer.BMC medical informatics and decision making · 2020Article
- Moving towards an organized cervical cancer screening: costs and impact.European journal of public health · 2018Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Markov chain models are commonly used to simulate the natural history of human papillomavirus infection and subsequent cervical lesions with the aim of predicting future benefits of health interventions. Developing and calibrating these models entails making a number of critical decisions that will influence the ability of the model to reflect real conditions and predict future situations. Accuracy of selected inputs and calibration procedures are two of the crucial aspects for model performance and understanding their influence is essential, especially when involves policy decisions. The aim of this work is to assess the health and economic impact on cervical cancer prevention strategies currently under discussion according to the most common methods of model calibration combined with different accuracy degree of initial inputs. Model results show large differences on the goodness of fit and cost-effectiveness outcomes depending on the calibration approach used, and these variations may affect health policy decisions. Our findings strengthen the importance of obtaining good calibrated probability matrices to get reliable health and cost outcomes, and are directly generalizable to any cost-effectiveness analysis based on Markov chain models.
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