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In particular, these parameter estimates allow for heterogeneity in the returns to a baccalaureate degree by allowing individuals a unique return that is a function of whether or not they are a minority.
These estimates allow for more accurate long-term projections in mathematical and econometric models.
The models used to derive these estimates allow for the (generally) downward trend over time in the annual number of casualties and collisions in London.
However, if errors in the pathologic measurement are random and do not favour MRI over the comparators (or vice versa), these estimates allow for valid comparisons (Glasziou et al, 2008).
These estimates allow for clustering within school classes, assuming a mean cluster size of 10 children participating from each class and an intra-class correlation of 0.01 reflecting a modest degree of similarity in outcomes for children in the same school class.
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Recent approaches either focus on the display of age frequency distributions that ignore the standard errors or on radial plots, that support comparisons between estimates allowing for their differing precisions, but without giving an explicit picture of the age frequency distribution.
Unlike reports given in typical short-term memory experiments using change detection [14], [15], or multiple object tracking tasks [17], [18], this implicit measure of averaging multiple estimates allows for a measure of the contents of working memory, including information that may not be available for conscious report.
Randomisation occurred at practice level and an adjustment to the sample size estimates allowed for clustering.
The corresponding R0 estimates, allowing for pre-epidemic immunity as indicated by seropositivity, were 1.06 2.06 and 1.08 1.62.
For the noncompartmental pharmacokinetic parameters, an analysis of variance was performed to generate appropriate estimates allowing for the calculation of 90% confidence intervals.
This increased difference of average fitted values between progressing and nonprogressing instances supports our hypothesis that Kalman filtered estimates allows for improved distinction of significant disease progression.
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CEO of Professional Science Editing for Scientists @ prosciediting.com