Sentence examples for between predicted numbers of from inspiring English sources

Recent research has highlighted the 'gap' between predicted numbers of people with dementia based on prevalence rates and actual numbers with diagnoses of dementia across the UK [ 18].

Discrepancy ratio was defined as the absolute distance between observed and predicted number of cases, measured in half prediction interval widths: where and k f are the predicted and observed number of cases, respectively, and is the distance between predicted number of cases and the limit of the prediction interval.

For these relationships, the final model determined a correlation of 92% between predicted number of dengue cases and the observed dengue disease frequencies.

Within each year, there was often (but not always) a good correlation between the predicted number of emerging cercariae and the observed number of cercariae transformed into metacercariae in cockles.

Of course, factors other than DNA extraction efficiency may contribute to differences between the predicted number of reads based on isolate DNA extraction and the observed number of reads.

In every plant species analyzed, the negative correlation between the predicted number of methylation sites (from 0 to ≥7) and protein disorder has been observed.

N Number of cases SD Standard deviation PR Polytomous regression PMM Predictive mean matching RF Random forests Prop Proportional sampling MAD Mean absolute difference between the predicted number of caces in all 50 imputations and the observed number of cases.

In every plant species analyzed, positive correlation between the predicted number of O-glycosylation sites (from 0 to ≥4) and the content of intrinsic disorder has been observed (Fig. 3B).

Correlations between observed and predicted number of recruits were statistically significant.

If the difference between observed and predicted number of cases was due to a new detection modality, such as PSA testing, then we might expect the effect of this detection modality to be larger than 6% especially after 1995.

Table 3 shows the results of comparisons between the observed and the predicted number of breast cancer by detection modes for cross-validation and external validation.