The phrase "assess the random" is not standard in written English and may be unclear in meaning.
It could be used in contexts where one is evaluating or analyzing random elements or data, but it lacks clarity without additional context.
Example: "In our study, we need to assess the random samples collected from various locations to ensure a comprehensive analysis."
Alternatives: "evaluate the randomness" or "analyze the random elements".
No chemoattractant was added to the upper and lower chambers, which enabled us to assess the random motility of TECs.
Clinicians cannot rely upon multiple replicate observations, and their measured variance, to assess the random component as can be done in the animal laboratory.
To be able to say with confidence if a promoter has a specific histone mark present we need to assess the random expectation of tags from the given mark in a genomic region of the same size.
The next step was to assess the random distribution of maximal t values in the present data set by exchanging the values for each trial type (or the signs of the differences between the 2 sample stimuli) at a time for all sensors j and frequency bins (time points) i on a subject-by-subject basis.
Simple statistics, correlation, linear regression and mixed model analysis assessing the random effect of study were used to describe the relationships between rumen and production parameters.
One advantage of the Box-Jenkins approach is that it is designed to cope with discrete spatial temporal data, while assessing the random and non-random spatial-temporal movements.
For example, item #8 in the CONSORT statement assesses the random sequence generation with two subitems (ie, the method used for generating the random allocation sequence, including details of any restrictions).
Looking specifically at the distribution of responses to one of these three questions, which was written specifically to assess the Mutations random key concept, workbook students seemed to be more attracted to the response suggesting that mutations are biased in the direction that would convey a selective advantage (Additional file 1: Table S13).
The second method, based on the concept of "enrichment", measures the "signature-profile" similarity by first generating a signature (a short list of top changed genes) from one profile, then applying a nonparametric technique to assess the non-random distribution of these signature genes in another ranked profile, as previously described in the Connectivity Map (CMap) analysis [16].
The likelihood ratio test for nested models was used to assess the significance of random intercepts and random coefficients (i.e., slopes).
To assess the frequency of random occurrence of ray regeneration flanked by no growth (1's flanked by 0's or "010"), we generated a binary random list comprising 142 1's and 409 0's (frequency ~0.258).
