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In an effort to transform gene-gene and gene-environment relationships to prediction systems that are convenient to use clinically, variables of characteristics and genetic polymorphisms were analyzed by two different statistical models.
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In this study, total deformation of each sample was calculated using a newly developed equation containing variables of mixture characteristics.
The results showed that vegetation properties were strongly related to different variables of soil characteristics at different scales.
Observational morphological assessments were made using 20 accepted SEM variables of epithelial characteristics (Table 1).
Descriptive variables of patient characteristics and toxicity were calculated directly from the database.
Table 2 gives the significant first order correlations between the relevant variables of study characteristics.
Analysis of variance (ANOVA) was used for comparison of the continuous variables of baseline characteristics between the three treatment groups.
All variables of baseline characteristics with a p < 0.05 in univariate analysis were considered for inclusion in the multivariate model.
For each cohort, we calculated mean values for continuous and frequencies for categorical variables of baseline characteristics.
Variables of hospital characteristics at the PMV onset included a set of binary variables indicating a hospital's accreditation level and region.
The chi-square test was used for analyzing nominal variables of patient characteristics and to test for differences of frequencies in genotypes between two groups.
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