Exact(9)
P-values for linear trends were calculated using the quartile median values.
Scale examination of continuous predictor variables was done using the quartile analysis technique in the multivariable model [ 41].
We examined individual chemicals categorically as well, using the quartile cut points determined from the control distribution.
The BNP/NT-ProBNP levels were categorized centre-wise into four groups using the quartile limits found in patients with preserved renal function.
The photographs were evaluated and compared by two independent dermatologists using the quartile grading scale: 1 = minimal improvement or steady state (0 25%), 2 = moderate improvement (26 50%), 3 = marked improvement (51 75%), and 4 = excellent improvement (76 100%).
The resulting median foreground values for the red and green channels were normalized in two steps using the LIMMA package in R as follows: "within arrays" using the LOWESS method and "between arrays" using the quartile method.
Similar(51)
This variable was further categorized using the quartiles of the distribution as cutoffs: ≤ 1926; 1927 1946; 1947–1959; ≥ 1960.
A variable for income was then generated with four levels using the quartiles of the calculated equivalised income.
Tests for trend were performed using the quartiles of BP as ordinal variables in corresponding regression models.
The only continuous variable, age, was transformed into a categorical variable using the quartiles of the frequency distribution (≤20, > 20 30, > 31 50, > 50 years).
Continuous variables, not linearly related to the outcome, were categorized using the quartiles as cut-points, or by using biologically important, or recommended cut-points.
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