Sentence examples for respective patient groups from inspiring English sources

One could hypothesize that the observed BSUV group differences are in fact partly or completely reflecting physiological differences between the respective patient groups.

The parametric Student's t-test and the nonparametric Wilcoxon and chi-square tests were used to study differences between the respective patient groups.

Specifically, qPCR and FACS data were explored using two-dimensional hierarchical clustering of correlation matrices (i.e. gene-wise correlation of the respective patient groups [ 9]).

17), and in general, very similar results were observed, as shown in Additional file 1: Figure S 4. Therefore, we consider the different distributions in TK1 activity and TK1 protein levels described above for MDS, breast and prostate patients as being representative for the respective patient groups.

Although anti-GP2 IgA was more prevalent in CD patients with A1 than ASCA IgA [10/31 (32.3) vs 9/31 (29.0%)] and less in CD patients with A3 (1/19, 5.3% vs 2/19, 10.5%), all prevalence rates were not significantly different compared with the respective patient groups regarding age at diagnosis.

Yet, it is unknown whether each label reflects the health of the respective patient group.

The median methylation value in the respective patient group was used as the cut point for dichotomization.

Missing values for baseline SF-36 scores (n = 6 values missing out of 3,896 values) were replaced by the mean value in the respective patient group (1, 2 or 3).

Nevertheless, as would be expected, median PFS and OS were significantly longer in patients aged <70 and <75 years than in the <span class="lh">respective older patient groups, but there was no significant difference in the duration of bevacizumab therapy between the two age group comparisons.

Along the Gratiolettian axis asymmetry to the left in the frontal lobes in control males, and to the right in the occipital lobes in females was lost in the respective male and female patient groups [Narr et al., 2004].

We found that a segmentation of the patients for treatment outcome followed by subspace clustering allowed the identification of relevant patient groups and respective medical attributes, which can be a basis to generalize medical knowledge.