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Once the communities were selected, sampling age groups for subjects 0 5 years, 6 15 years, 16 24 years, 25 59 years and ≥60 years were selected.
Sampling age of the strain and the number of mtDNA substitutions were highly correlated (r = 0.8; Figure 5).
Before examining the differences between AbN and T1D groups, we determined whether sex and sampling age of the subjects were potential confounding factors.
Given the large number of newborns with high TSH screened within the first 24 hr of life, this approach was considered more appropriate than analyses including all newborns regardless of sampling age and attempting to control for this powerful confounding factor in the data analysis.
Our design and choice for sampling age groups were also similar to the previous studies, which analyzed gene expression during Drosophila aging (Zou et al., 2000; Pletcher et al., 2002), except that we increased the number of samples at the end of the lifespan curve, including very old flies, which allowed us to better examine changes associated with advanced age.
Yet, the significant effect of learning performance on survival capability persisted even in the stratified Cox regression analyzes in which colony or sampling age were controlled for separately (χ2 = 4.678, P = 0.031; χ2 = 4.738, P = 0.030, respectively, N = 341).
Similar(41)
The sampled age groups contain relatively few people with university level education.
Points indicate sampled ages.
Sample age of 1 Ga could be determined.
Therefore, in this sample, age and New Zealand living experiences are not significantly positively correlated.
For the U.S. sample, age had a significant impact on entrepreneurial intention (β = 0.143, p < 0.05).
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