Both the per protocol analyses and analyses adjusted for treatment received (providing estimates of treatment efficacy) suggested larger differences between the randomised groups.
In other cases, sequences from several clones within one contig were identical or nearly identical (except for occasional single-nucleotide polymorphisms which may have been caused by PCR artifacts), suggesting large differences in transcript abundance between treatments for these genes.
There is considerable variation in the number of assembled bases between the seven genomes, suggesting large differences in the size of the chromosome between strains and/or the variable presence of large plasmids.
However, the available data on thermal tissue expansion and the related Grüneisen coefficient suggest no large differences between water and tissue [ 29, 30, 31, 32].
A number of studies that did report statistically significant impact on stillbirth or perinatal mortality, or which suggested large magnitude differences between intervention and control/comparison groups, lacked sufficient rigor to justify recommending the routine use of the interventions evaluated.
However, the data do not suggest a large difference between the subgroups.
The fact that both normal and tumor samples belong to the same set of individuals, as well as the carefully performed experimental design to prevent biases between tissue types, strongly suggests that these large differences between networks are mainly due to the tumor phenotype.
Significant differences between treatments would suggest that larger differences between stimuli translate into stronger male preference.
This suggests a large difference between the strength and the dynamic stress level in the large slip area and a small difference in the small slip area if the final stress level is equal to the dynamic stress level.
Correspondingly, gene expression data of transgenic SP-C/c-raf lung were well separated from non-transgenic and dysplastic cells, suggesting a large difference between these groups.
