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In case that the final particle size distribution in the organism significantly differs from the initial distribution of the ENP size, a matrix-matched calibration with this final particle sizes has to be performed for valid quantitative imaging.
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In practice, large sampling sizes have to be chosen to ensure accuracy and precision.
The sizes have to be in order.
Thus, sample sizes have to be large in order to find variants with low odds ratios.
Problems such as incomplete data, asynchronous experiments, strong batch effects and insufficient sample sizes have to be dealt with.
"Smaller class size has to take a priority.
At some point the statistical sample size has to get large enough that even in the apparent phony war period after a World Cup the results do matter.
Therefore, an optimum grain size has to be found in order to operate economically.
Sample size has to be at least similar or possibly larger than previously reported series.
As per the algorithm used in this paper, the population size has to be even.
The transient analysis window size has to be (2^{k}, k in R).
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