Sentence examples for be attributed to selection from inspiring English sources
We do not believe that the results of our study could be attributed to selection bias, even though we screened 40.9% of those selected from the file of thyroid activity measurements, representing 67.5% of those invited to participate, because distribution of measured thyroid radioactivity was similar among participants (n = 13,243) and nonparticipants (n = 19,142) (Stezhko et al. 2004).
This implies that much of the startup wage premium in the cross-section can be attributed to selection, and that VC-backed startups pay competitive wages for talent.
Several retrospective trials failed to demonstrate benefits in OS when comparing early to late HDT/ASCT, which could be attributed to selection bias regarding patients in the "late" group102.
This P3b modulation could not be attributed to selection or storage of simple sensory stimulus dimensions, nor was it observed when the new rule was externally prompted by the first card in the WCST series.
As Halpern and her co-authors point out, there are some excellent single-sex programs, and some can point to real gains, but often these can be attributed to selection bias — the children involved were more committed students — and to the motivation and sense of mission among teachers and staff.
In diamondback moth populations, these frequency changes could be attributed to selection against the transgene.
The short length of human housekeeping genes, compared with tissue-specific genes, has been attributed to selection for economy in transcription and translation.
As the divergence between D. melanogaster and D. simulans does not follow this pattern, the drop in variability cannot be explained by mutation rate variation, but is attributed to selection [27], [28].
In this respect, it is likely that the pronounced co-expression of Krt14 and Krt8/18 proteins in G-2 culture, but not in G-2 tumors, is attributed to selection in cell culture for a pro-proliferative function of Krt14.
This was attributed to selection bias in favor of the inclusion of patients with a better prognosis.
