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- Articles and reports: 82-003-X201501214293Description:
The University of Wisconsin Cancer Intervention and Surveillance Modeling Network breast cancer microsimulation model was adapted to simulate breast cancer incidence and screening performance in Canada. The model considered effects of breast density on the sensitivity and specificity of screening. The model’s ability to predict age-specific incidence of breast cancer was assessed.
Release date: 2015-12-16 - Articles and reports: 82-003-X201501214294Description:
This analysis employs a validated microsimulation model of breast cancer, adapted to the Canadian context, to predict health outcomes associated with different digital mammography screening strategies (including No Screening) across different age ranges. The model estimates the benefits, harms, limitations, and use of resources for each strategy.
Release date: 2015-12-16 - Articles and reports: 82-003-X201501214295Description:
Using the Wisconsin Cancer Intervention and Surveillance Monitoring Network breast cancer simulation model adapted to the Canadian context, costs and quality-adjusted life years were evaluated for 11 mammography screening strategies that varied by start/stop age and screening frequency for the general population. Incremental cost-effectiveness ratios are presented, and sensitivity analyses are used to assess the robustness of model conclusions.
Release date: 2015-12-16
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Articles and reports (3)
Articles and reports (3) ((3 results))
- Articles and reports: 82-003-X201501214293Description:
The University of Wisconsin Cancer Intervention and Surveillance Modeling Network breast cancer microsimulation model was adapted to simulate breast cancer incidence and screening performance in Canada. The model considered effects of breast density on the sensitivity and specificity of screening. The model’s ability to predict age-specific incidence of breast cancer was assessed.
Release date: 2015-12-16 - Articles and reports: 82-003-X201501214294Description:
This analysis employs a validated microsimulation model of breast cancer, adapted to the Canadian context, to predict health outcomes associated with different digital mammography screening strategies (including No Screening) across different age ranges. The model estimates the benefits, harms, limitations, and use of resources for each strategy.
Release date: 2015-12-16 - Articles and reports: 82-003-X201501214295Description:
Using the Wisconsin Cancer Intervention and Surveillance Monitoring Network breast cancer simulation model adapted to the Canadian context, costs and quality-adjusted life years were evaluated for 11 mammography screening strategies that varied by start/stop age and screening frequency for the general population. Incremental cost-effectiveness ratios are presented, and sensitivity analyses are used to assess the robustness of model conclusions.
Release date: 2015-12-16
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