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We conducted tests for linear trend across quartiles in regression models for ordinal BPA quartiles using integer values (1 4).
Tests for trend were performed by modeling categorical variables as an ordinal variable using integer values (0, 1, 2).
Tests for trend were conducted for ordinal BP categories in regression models using integer values (0, 1, 2).
We tested for dose response trends by modeling exposure both as a continuous variable and as an ordinal categorical variable coded using integer values (0 7).
p-Values for linear trend across quartiles were derived from analyses entering phthalate quartile variables as ordinal categorical coded using integer values (1 4).
We constructed quartile variables for individual phthalate metabolites, summed metabolites, and %MiNP and %MEHP that were entered as fixed ordinate variables coded using integer values (1 4) in multivariate linear regression models.
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We used integer values for the hour, h, and Julian calendar day, n.
To simplify the proposed method, the choice is made to use integer values for the thresholds.
For CDP in each species we used integer values approximating their genomic SNP heterozygosity: 1%, 2%, and 5% for stickleback, soybean, and Ciona, respectively [ 8, 15, 16].
The pseudocode in Algorithm 1 can be used to adjust the value of using integer arithmetic.
However, using genotype probabilities, saved as real or double precision values, would increase computation requirements by a factor 4 or even 8 compared to using the integer values (0, 1, and 2) used in our study.
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