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After collection of pulse sizes, the data were expressed as particle diameters and displayed as histograms of counts against diameter using logarithmic bins and a logarithmic scale for the cell diameter.
After collection of pulse sizes, the data were expressed as particle diameters and displayed as histograms of counts against diameter using linear bins and a linear scale for the cell diameter.
Finally, because of limited cell sizes, the data in the tables on income, education, immigrant status and marital status are not adjusted for age.
Further, at large sample sizes, the data processing costs can become so large for the observation method that inclinometer data becomes more cost effective.
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Because of small sample size, the data should be interpreted critically.
Despite the very small sample size, the data yielded an intriguing enough start.
For skewed variables (plasma triglycerides, leptin, adiponectin and adipocyte size), the data were log-transformed before analysis.
However, due to the small sample size the data have to be interpreted with care.
LocusZoom plots provide an option to size the data points relative to sample size and can display functional annotation.
In contrast, in the continuous analyses where power was not limited by cell size, the data conformed to predictions.
Due to the small sample size, the data are not sufficient for detecting small differences in postoperative bleeding rates.
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