Sentence examples for estimating the proportion between from inspiring English sources

Better model fit in peripheral regions was also found after including a spatial factor (i.e. an autocovariate estimating the proportion between the presences and total observations within a 10 km radius) into the global and regional models.

To allocate total mesotheliomas between separate industries, industry-specific AFs calculated in the usual way were used to estimate the proportions between industries, but mesotheliomas considered to be paraoccupational (6 13% of the total for men, 45 70% for women) were excluded from the allocation.

Because secondary transmission masks the connection between sources and outbreaks, estimating the proportion of foodborne norovirus infections is difficult.

Because recent criticism has been raised about the validity of the Q-statistic as a test of homogeneity in meta-analyses, 27 we will also estimate heterogeneity using I, which estimates the proportion of between-studies variance.

Multilevel models can estimate the proportion of between-group variability related to contextual factors included in the model and can quantify the proportional change in variance (PCV) at the group level after the inclusion of level-1 and level-2 variables (Merlo et al, 2006).

Second, we performed mediation analysis to estimate the proportion of the association between birth weight and type 2 diabetes that is explained by BMI.

The I statistic (46) was used to estimate the proportion of the variance due to between-study heterogeneity and the Q statistic to test for such heterogeneity.

The intraclass correlation coefficient was used to estimate the proportion of variability in mortality between groups.

To estimate the proportion of conserved splicing events between bear and dog, we compared the spliced patterns in bear with those in annotated dog mRNA transcripts.

This uses polymorphism and divergence data to estimate the proportion of non-synonymous differences between a species pair that have been fixed by positive selection, and the ratio of the rate of substitution of positively selected non-synonymous mutations to the rate of synonymous substitutions (ω a).

We also calculated the I statistic to estimate the proportion of variation attributable to heterogeneity between studies.