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Calibration of the model predictions was assessed by comparing the predicted probability with the actual survival probability.
Across the conterminous U.S., predictive accuracy for PM2.5 monthly model predictions was again high (CV R = 0.77), though again lower in the Northwest region at 0.56.
Across the conterminous U.S., predictive accuracy for PM10 monthly model predictions was again moderate (CV R=0.58) for 1988–2007, though again lower in the Southcentral, Northwest, and Central Plains regions for PM10 (>0.50).
Across the conterminous U.S., predictive accuracy for PM10 monthly model predictions was moderate (CV R=0.58) for 1999 2007, though lower in the Southcentral, Northwest, and Central Plains regions (>0.45).
Calibration of the model predictions was assessed by plotting observed proportions versus predicted probabilities; where a 45° line denotes perfect calibration.
Deviation of the data from these model predictions was identified as observation error.
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None of the model predictions are certain.
Model predictions were supported.
Model predictions were implemented and confirmed experimentally.
Model predictions are validated by experimental results.
These model predictions are then compared to the true TBA results (data points).
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CEO of Professional Science Editing for Scientists @ prosciediting.com