Forecast Datasets
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Forecast Datasets - The Output of the Model
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Forecast datasets are a collection of simulated health and cost outcomes calculated by the Archimedes Model for specific populations and specific interventions. They are a powerful alternative when clinical trial data is not available and are particularly valuable for:
- Health economics and outcomes research
- Performance measurement and improvement
- Policy and guideline analysis
- Portfolio strategy
With the help of the Archimedes Outcomes Analyzer, researchers and decision makers can use the forecast datasets to determine the effects and value of interventions and treatment programs.
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Three types of forecast datasets:
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Custom forecast datasets: The Archimedes Modeling and Consulting group can create custom forecast datasets that meet your specific needs. More...
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ARCHeS-generated forecast datasets. ARCHeS Innovator enables users to access much of the Archimedes Model via Software as a Service (SAAS). Users can run custom simulations covering conditions, treatments, and outcomes related to cardio-metabolic risk (e.g. coronary artery disease, stroke, diabetes and its complications, obesity, hypertension, dyslipidemia, and smoking). More...
- Public forecast datasets. Datasets relevant to a wide group of researchers and decision makers are created by Archimedes scientists and made available. The first public dataset, the Cardio-Metabolic Risk dataset that contained 19 simulated controlled trials, was released in October 2010. More...
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