Sentence examples for use of summary measures from inspiring English sources

The use of summary measures to combine data obtained at multiple time points for the same individual is a recommended statistical procedure.

Quantitative characteristics of the patients were described in the two groups with the use of summary measures (mean, standard deviation, median, minimum, and maximum).

We use these data to illustrate the use of summary measures such as the AUC for analysing longitudinal data, using conventional and bootstrap hypothesis tests.

Given this variation in data collection we decided on a relatively straightforward approach to the analysis of the longitudinal data which involved the use of summary measures (Matthews et al, 1990).

Separate analysis of data on RRT prevalence or incidence in the very elderly has historically been scarce and the use of summary measures of RRT, encompassing wide age bands, may also have obscured the underlying shifts in the numerators and denominators in the elderly.

It is worth noting that despite authoritative publications about appropriate summary accuracy measures in the past,[ 5, 7, 10] (we have only quoted a few references) inconsistent and inappropriate use of summary measures has remained prevalent in the period 1994 2000.

CSF Aβ parameters were summarised using standard descriptive statistics for a range of summary measures (absolute, absolute change from baseline, absolute percent change from baseline, weighted mean, weighted mean change from baseline and weighted mean percent change from baseline) and are presented in individual participant plots.

In addition to potential bias from intervals with unknown adherence, the choice of summary measure used to report trial adherence can provide a misleading estimate of product use.

While we have examined only one type of summary measure, other summary measures using different summation methods remain worth exploring.

The use of the summary measure approach (SMA) was suggested by Wishart [ 1] for the first time.

After testing these in logistic regression analyses, we illustrated the effects that accounting for individual- and area-level characteristics had on measures of regional variations in prescription drug use using summary measures of variation.