Sentence examples for different statistical groups from inspiring English sources

Group superscript letters next to the numbers represent different statistical groups, means with the same letter are not significantly different by the Bonferroni (Dunn) t test using the SAS 9.1 program.

3 Having established from the qualitative analysis that the participants in different statistical response groups have distinct underlying patient experiences, a mixed-method approach can be used to improve the reporting of findings from the survey.

In order to examine the effectiveness of inpatient treatment for anorexia nervosa, results were analysed in three different ways: Statistical group comparisons (repeated measures analyses of variance (rANOVAs) with treatment duration as covariate).

Various groups use different statistical methods, sometimes resulting in very different numbers that are hotly debated.

The observed concordance between different statistical methods at particular linkage groups gives consistency to our results.

Consistency between the current meta-analysis and prior analyses despite being performed by different research groups using different statistical methods adds further credence to our findings.

Analysis of contingency tables and correlation between the different groups assumed different statistical approaches including logistic regression, multivariate analysis and chi-square test.

These two groups adopted different statistical methods, but neither found a benefit associated with omega-3 fatty acid supplements versus placebo [ 26, 27].

(The two groups have slightly different statistical methods: the Recording Industry Association tracks sales by retail price; the international group counts the music's wholesale, or "trade," value).

The likely reasons for this could be variation in pre-analytical variable selection, which could lead to differential interaction between analytes of interest, differences in innate characteristics of a cohort based on region and different statistical approaches employed by the different groups.

Relationships between eRSN characteristics and outcome will be sought using approaches including pair-wise relationships such as mutual information measures, with testing using surrogate signals as well as different statistical testings at individual and group levels.