The phrase "taking on values" is correct and usable in written English.
It is often used to describe the process by which something acquires a set of values or beliefs. For example, "The organization is taking on values of diversity and inclusion as part of its core mission."
To address any residual confounding after randomization, we adjusted for several covariates: trainee profession, the two strata (CQI experienced and presence of BIPAI at the facility), and learning during the assessment, which was measured using a categorical variable taking on values of one to five for the sequence of the particular patient being observed for each trainee.
Let R be a random variable taking on values in {0,1,2,…} with probability density { p0, p1, p2,…}.
Finally, to test whether the susceptibility to develop T2DM complications (represented by a binary indicator variable taking on values 0 and 1) differed among haplogroups, logistic regression was performed to adjust for patient characteristics, i.e., disease duration, sex and age.
Finally, we used logistic regressions to assess whether the susceptibility of developing T2DM (represented by a binary indicator variable taking on values 0 and 1) differed among mtDNA nDNA genotypes, while adjusting for individual characteristics, including gender and age.
Define a new variable Z such that Z i ≡ I Y i > τ) Y i, where I denotes the indicator function taking on values of one if is true and zero otherwise.
Smoothing introduces continuous weights, ranging from 0 for missing or "completely unreliable" measurements, to 1 for "perfectly reliable" ones, but also taking on values in between.
We remark that the expected value of ln(1/ p k ) (for a variable taking on value x k with probability p k ) equals the entropy of that random variable, a central notion in information theory.
These symbols take on values from a predefined constellation set.
Let us consider a demand with 40%% variability; it takes on values in the range [80,190] and has a nominal value of 135.
The dependent value takes on values of −1 (multiple job leavers), 0 (single and multiple job stayers), and +1 (multiple job joiners).
Mathematically, it is expressed as follows: Suppose y takes on values in {1, 2,…, m}, and let f (i, j) = frequency of value j in node i.
