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The weighted levels distribution (geometric mean and various percentiles) were estimated for each biomarker.
To further illustrate and evaluate the method proposed in this paper I present geometric mean and various percentile estimates along with their 95% CIs for two chemical compounds from NHANES 2005 2006 pooled samples and compare them to individual-sample based estimates from NHANES 1999 2004.
Particularly, mean and various second-order velocity and temperature results obtained for turbulent channel flow with a heated and a cooled wall indicate the higher prediction quality achievable when adding a small-scale subgrid-viscosity term within the algebraic multigrid framework instead of residual-based terms accounting for the subgrid-scale part of the non-linear convective term.
The results were presented on the basis of age sex strata for the mean and various percentiles of exposure (Kuiper-Goodman et al., 2010).
We computed the difference between observed and predicted waist circumference for each individual, and used the mean and various percentiles to summarize those differences.
The multiple linear regression results for the association between the variation in the three main FPC for the smoothed temporal mean and various pregnancy characteristics are presented in Table 2. Maternal obesity was significantly positively associated with scores on FPC1, and negatively associated with scores on FPC2, i.e. longer counting times with a decreasing trend as pregnancy advances.
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These are frequently reported as means and various upper percentiles (e.g., the 95th percentile).
The intraclass correlation coefficients (ICCs) between the two readers for the mean MTR and various histogram parameters are given in Table 1.
We compared the mean MTR and various histogram parameters derived from the MTR between patients with a good response after CRT (TRG 1 2) and those with a poor response (TRG 3 5).
Age, reported in years at the last birthday, was stratified in groups (6 11, 12 19, 20 59, and ≥ 60 years of age) for calculation of the geometric mean and the various percentiles.
The mean, standard deviation, and various percentiles are summarized in tables and, for each dimension, a comparison is made between genders, using t-tests.
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mean and numerous
mean and multiple
mean and other
mean and several
mean and spiteful
mean and full
mean and absurd
mean and brutal
mean and maximum
mean and judgmental
mean and nasty
mean and median
mean and sour
mean and violent
mean and ornery
mean and bad
mean and standard
mean and hungry
mean and tough
mean and cruel
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com