Sentence examples for mean central tendency from inspiring English sources

Exact(2)

Briefly, peptide intensities from the LC-MS analyses were log2 transformed and normalized using a mean central tendency procedure.

Briefly, peptide intensities from the LC-MS analyses of the individual samples (volume limited) were log2 transformed and normalized using a mean central tendency procedure.

Similar(58)

(2) Statistical analysis of the data: the μ represents mean of central tendency, which is calculated by Eq. (16).

Results are reported using proportions for categorical data, mean as central tendency parameters for continuous data and standard deviation (SD) value as dispersion parameters.

The median of a series of simulated survey mean abundances, the central tendency obtained over a large number of surveys of the same area, always underestimated true abundance at low sample densities.

For example, an average of 3.5 ranks of taxonomic precision means that the central tendency of assignments for all proteins fell between the ranks of class and order.

TCDD exposure was measured in blood samples and expressed as picograms per gram of lipid; Proportions of subjects with prevalent or incident DM were reported for each exposure category; and TCDD levels in each exposure category were categorized based on reported cutoffs or (preferably) on a measure of central tendency (mean, median, or geometric mean).

We generated measures of central tendency (mean, median, range, and geometric mean) of the daily and the maximum urine 2,4-D concentrations for the applicators, spouses, and children to evaluate the data.

The descriptive study will include measures of central tendency (mean), confidence intervals at 95% for the population mean, and contingency tables (frequencies) for each recorded variable.

To detect which physicians have systematically higher or lower measurements than the average physician, random intercept plots were constructed showing the physician's central tendency (mean or proportion) on the x-axis and the random intercept on the y-axis.

Note that this value differs from the mean value derived from the full distributional analysis (Table 4), because the equation for the model is nonlinear, and therefore, the mean of the means (i.e., the central tendency estimate) is not equivalent to the overall mean.

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