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.
Three types of forecast datasets:
Custom forecast datasets: The Archimedes Modeling and Consulting group can create custom forecast datasets that meet your specific needs. More...
ARCHeS-generated forecast datasets. ARCHeS 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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