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In the Danish forecast, the proposed model and the coherent LC model use data from Sweden, France, Italy, and Japan Fig. 13 Validating forecasts from 1991 to 2011, given data from 1965 to 1990, of our model (blue), the LC model (red), its coherent variant (dark blue), the P-spline method (magenta), and of the UN Bayesian approach (green) for British (left) and Danish (right) women.
We recommend that the SHEDS-Woods model use data from studies of children actively playing on playsets to more accurately estimate children's actual exposures to CCA.
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Finally, our model uses data derived from a comprehensive EMR, so it may only be useful in such settings.
The model uses data going as far back as 1980 to calibrate its results.
The software's absorption model uses data gathered from living humans to predict how a compound will penetrate through the intestinal wall and the blood-brain barrier.
We empirically test the model using data compiled from several data sources.
Chikumbo and Steward ([2007]) developed a basal area model using data from thirteen planted stands.
Each model uses data from multiple years of U.S. inpatient hospital discharges and outpatient surgeries.
Bajari and Hortaçsu (2005) test a structural auction model using data from a laboratory experiment.
Forecast for 2008 by the MGR model using data from 1965 through 2007.
The model used data from previous publications and local ambulance service and hospital databases.
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