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For structural equation modeling, a larger sample might lead to better statistical results.
However, because examining five targets in a small sample might lead to randomly significant results at this cutoff, we decided to also set a Bonferroni-correct threshold P value of 0.05/5 = 0.01 for the individual target analyses.
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This is because very biased sampling might lead to a discrepancy between the theoretical distribution and the score distribution, not to mention a discrepancy between a fitted parametric form and the score distribution.
Furthermore, limited studied samples might lead to a relatively lower statistical power in certain subgroups.
We excluded a group of samples with median ERG expression levels, since our initial explorative analysis demonstrated that these samples might lead to noise in subsequent statistical analyses.
A single marker to detect and quantify DEC in BM or other samples might lead both to false-negative and false-positive analyses.
According to the manufacture's information high amount of proteins present in whole blood samples might lead to insoluble precipitation with RNA later®.
Since CR leukemic cells were not detectable in PBMC samples by morphology, we investigated if non-leukemic cells contained in the PBMC samples might lead to aberrant cytokine production.
As changes in sample size might lead to changes in study power, deviation from the planned sample size should be explained in the article.
Alternatively, imperfect dissection of midgut subsections during sample collection might lead to some amount of RNA from neighboring subsections being detected in the wrong sample.
The small sample size might lead to a result that may not be of sufficient power to detect differences in regional and global amyloid burdens between subjects with severe, moderate, and mild treatment resistance and the control group.
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CEO of Professional Science Editing for Scientists @ prosciediting.com