Sentence examples for mean estimate derived from inspiring English sources

The mean estimate derived from the two Palauan femora (43.0±5.7 kg) does not differ significantly from the pooled sex Onge mean (43.7±5.3 kg, n = 38).

Table 2 shows the mean estimates derived from the linear mixed model of different parameters of iron metabolism for all patients per group at all time points.

The random draw model predicts these values poorly: mean estimates derived from 1000 replicates are 38.1 (± 2.35) and 60.58 (± 1.65), respectively, which differ significantly from the true figures.

For DEP a comparison of the biomarker-based and indirect approaches indicates that, in adults, mean estimates derived by indirect methods (Clark et al. 2003) were about half the mean exposures calculated from bio-marker-based data (Table 4).

The sex of the individuals represented by these specimens is unknown, and therefore we compare these mass estimates to the mean mass estimate derived from a pooled sex sample of Onge femora (12 females, 12 males and 14 specimens of indeterminate sex).

The last column gives the geometric mean of estimates derived using different methods in the same tunnel.

The mean LADD estimates derived by setting the maximum dermal loading parameter at values derived from the Kwon et al. study were 27% of the estimates derived by the U.S. EPA.

(D ) Mean parameter estimates, derived by regressing bandit value on the BOLD signal from within an independently-defined ROI in the rmPFC, separately for defer and commit decision under each rule.

The mean 5-year breast cancer risk estimate derived by using the BCRAT was 1.54, and 33% of participants had a 5-year risk estimate of 1.67% or greater.

The confidence limits around the estimate are wide and it cannot be excluded that the rise began in the early 1990s and has been much steeper than the estimate derived from the mean value.

A recent British study compared the use of distance as a proxy of exposure from a source of pollution by means of estimates derived from dispersion models and concluded that the use of the models significantly reduces the risk of misclassification embedded in the use of the distance from a point source [ 34].