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The model performed less accurately in the South, where relatively few cases are documented.
This model performed less well at intermediate and higher probabilities of 10+ PRBC transfusions.
Unlike the total expenditure analyses, the ACG model performed less well than the CCI model (1.3 vs. 1.7%).
The unstandardised coefficient (B) was smaller than that for hypertension and the overall model performed less well with ACE-I and hypertension included.
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We saw the most accurate parameter estimation was performed when T s was either 7 or 20 days, with the model performing less accurately for day 0. It was not possible to estimate T s if virus was introduced on day 40.
The other models performed less well.
However, because these models performed less well than the PLS regression kriging models when tested against the validation dataset, this approach was not taken any further in this study.
On less disturbed surfaces such as the general harvesting area, both models performed less accurately, generally under-predicting soil loss and sediment yield, notably on sites with low observed values.
Our models performed less well in estimating PM10 2.5 than PM2.5.
Compared to the national model, the regional models performed less well.
With the current dataset, multivariate models performed less reliably than simpler models.
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