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Moreover, comparing kindergarten teachers' BMI status and smoking prevalence with a nationally representative German sample gave us the opportunity to quantify the increased obesity incidence in the occupational group of kindergarten teachers.
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However, as the microarray analysis was carried out on a mixed population of cells extracted from developing, whole second instar larvae, these in vivo samples gave us the opportunity to investigate whether depletion of Tip60 HAT activity also affected genes linked to tissue and cell type specific biological processes as well as the general cellular processes we had identified.
Histological finding on biopsy samples gave us the definitive confirmation of the metastatic nature of the lesion.
These techniques based on sampling give us an opportunity to calculate the aggregate easily.
Different from keypoint-based features such as SIFT or SURF, dense sampling gives us a fixed number of features.
A comparison of the two samples gives us an idea of whether the changes in the WCIs of Sample 1 are partly driven by the aging over the 5 year period.
While, we do not have data confirming that the absolute values of d-dimers are the same in long-term frozen samples like ours compared to fresh samples, the standardised storage and analysis of our samples gives us confidence in the integrity of the comparative analyses within the group as a whole.
Parallel profiling of the transcripts as well as miRNAs on the same set of samples gives us insight into potential interactions between miRNAs and differentially expressed targets in PKD.
Even though sampled wolves could in reality belong only to one corresponding temporal group, the means of individual assignments to different samples gives us information on the magnitude of the temporal changes in the gene pool (via the division of shared genetic variation across time).
The 16 record test sample also gave us preliminary information needed to determine that the final sample size of 50 records would be adequate to show significant changes in our major measures.
However, a post hoc sample size calculation for multiple regression analysis revealed that our sample size gave us 80% power to detect a R2 of 0.049 (for both HRQOL and lifestyle advice), assuming a type one error rate of 5% and a maximum of 4 factors in the model.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com