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It might be argued that the random short forms may not cover all relevant domains.
However, it is sometimes argued that the random effects model is to be preferred whenever results will be used to draw inferences regarding the distribution of a wider population [ 37].
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But one could also be a contrarian and argue that the random Web is making a comeback.
Finally, we argue that the random search algorithm also provides qualitative information about the attraction basin of each structure in the energy landscape.
We argue that the random walk of individuals, which results in diffusion of the population, can be anisotropic in those areas and hence lead to an effective advection.
Similarly, one may argue that the random vectors ({mathbf {Y}_{ -1)}^) and ({ -1hbf {Y}_{(-d)}^) ando follow the same joint distribution as well.
We thus argue that the random sampling technique may allow extension of our approach to a much larger network in the future.
However, some researchers argue that the random-effects model could provide biased results due to unverifiable assumptions about the data distribution [ 52].
Because the number of animals in our study was small (n = 25) and only one of the variables was statistically significantly different between the non-coated and AD-coated groups, and only at one time point, it could be argued that the results may be a random phenomenon.
It has also been argued that the sex determination is not a fully random event.
Recently, it has been argued that the assumption that intensity values from a microarray study are random samples from any statistical distribution is seriously flawed [ 27].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com