Sentence examples for made between subjects from inspiring English sources

Comparisons were made between subjects with (n = 47) and without (n = 61) a DSM-IV diagnosis of substance use disorder (SUD).

Studies with experimental design can be distinguished in those where the comparisons are made between subjects (parallel groups design) or within subjects (matched design or cross-over or split-mouth studies).

Therefore, no pre and post-treatment comparisons could be made between subjects' QOL.

In addition, sex-specific comparisons were made between subjects with and without OA entering age and BMI as covariates.

Results also showed excellent sensitivity and specificity when comparisons were made between subjects with ASD and subjects with ADHD.

Apparently no meaningful distinction can be made between subjects who need medication and those who recover without medication (or placebo).

This was due to an uneven distribution between zero and one of correlation coefficients, making between-subject analyses (similar to random effect analysis in GLM, which was applied as a supplementary analysis, see below) not appropriate in our case.

Though a close relationship has been established between body mass (BM) and absolute QF MVC results, the expected force at any BM may range widely (for example, at 70 kg – the mean [± 1 SD] QF MVC force is 350 [70] N) [ 29], thus making between-subject comparisons problematic.

Consequently, using terms from these two terminologies that have been linked, these new subsumptive inferences can only be made between subject terms for which necessary and sufficient definitions can be created (e.g. substance-transport terms) and not with the object terms (e.g. the substances that are being transported) used in these definitions.

In order to ensure that the study was representative overall, comparisons were made between the subjects that were included in the study and study subjects that were not included because of missing data.

Comparisons were made between the subjects included in the study and the subjects not included in the study because of missing data.