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Although risk estimates are based in a small sample, these relationships were substantiated in an analysis restricted to participants who reported MM among first-degree relatives only (Blacks: OR 10.8, 95% CI 1.22 94.8; Whites: OR 1.19, 95% CI 0.28 5.16; data not shown).
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When performing simulations (described below), we adjust the rosette-only observations by sampling from these relationships.
Utilizing all relevant data from our longitudinal sample, we examined these relationships with multivariate multilevel models (Singer and Willett 2003).
The matrix was then imported into BioLayout Express3D and a graph plotted using all sample-to-sample relationships ≥0.84.
This was imported into the tool BioLayout Express3D[ 26] and a graph plotted using all sample-to-sample relationships >0.9.
Although the OTU overlap between our individual experimental samples is generally small, these relationships allow us to begin to develop a picture of how biosynthetic diversity varies globally.
By performing the same analysis on the dog tumour samples, we observed that these relationships are largely maintained, thus suggesting a close interspecies similarity in the network of cancer signalling circuitries governing the establishment and the progression of the tumour.
Due to the relatively small sample size n (Table 1), these relationships should be examined in future studies for validity.
Future studies of ideally larger sample sizes may consider investigating these relationships among women working more extreme shift schedules or among longer-term shift workers, as these groups may be more likely to experience biological changes that lead to detectable disruptions of hormone levels.
In the combined sample, this relationship approached statistical significance (F = 2.45, p = 0.07, controlling for age, sex and BMI).
Although the two are associated in this sample, the relationship is complex.
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