Another study assessed the performance of the Framingham risk score model and a general practice model in a cohort of 3582 women aged 60 79 years who were initially free of CHD in the British Women's Heart and Health Study and observed that the Framingham model accurately predicted the 5-year CHD risk but over-predicted the CVD risk [ 51].
When model predictions were compared to measured results, it was found that the model accurately predicted the outlet air and water conditions.
With each site, the model accurately predicted observed tree abundances in those locations.
The model accurately predicted ISVC in four characteristic cases.
The CFD model accurately predicted trends in mixing.
The model accurately predicted > 70% of the observed species ranges.
The in silico model accurately predicted 10 of 17 deletion cases, with partial support for additional cases.
This model accurately predicted the moisture contents of the powders collected.
Moreover, when calibrated using stress relaxation data alone, the model accurately predicted cyclic loading responses.
The model accurately predicted removal of enterococci but systematically over-predicted the removal of E. coli.
The Cane-Zebiak model accurately predicted two El Niño events in a row, in 1986 and 1991, more than a year out.
