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As samples accumulated, we skewed control recruitment (e.g., seeking older boys) to maintain patient-control comparability.
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As the RCF values were skewed (positively skewed in control patients towards higher values, and negatively skewed in breast cancer patients towards lower values), all values were log transformed to normalise the data for comparison.
Thus, our results indicate instead a heterochronic biphasic pattern in r4, first with prolonged local generation of bMNs, followed by delayed production of a few serotonergic neurons, possibly bespeaking of a skewed probabilistic control mechanism of the fate choice done by the relevant postmitotic neurons.
We also note that even cell lines with the shortest time for first growth (less than 22 days) are still significantly more skewed than our control samples (DNA obtained from whole blood), indicating that a robust early growth does not guarantee absence of clonality.
All healthcare costs were positively skewed, particularly in the control group.
During studying population genetics; great care should be taken to confirm that genotype distributions are not skewed, especially in the control group.
Next, these comparisons are repeated using skewed data from a control group in a health coaching study to illustrate the shortcomings of the traditional approach to accurately estimate the RTM effect, in the common scenario of non-normal data.
Females who developed breast cancer at young ages 25-455 years) had a significantly higher frequency of skewed X inactivation than control females of the same age group (P = 0.009).
The XCI distribution in both Tunisian and Turkish controls according to age showed that 19.5% (9 of 46) have a skewed XCI in Tunisian controls which have a mean age of 43.5 years, whereas only 8% (10 of 124) in Turkish controls with a younger mean age (35 years).
Furthermore, we investigated the robustness with respect to unbalanced sample sizes (changing case-control ratio), skewed distributions, variance heterogeneity and categorical outcomes.
However, the results showed that there was a skewed distribution in ownership and control of firewood resources between the socio-economic groups.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com