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Categorical variables were used to assess the appropriateness of the log linear model for associations between parental age and childhood carcinomas.
The expectation maximization (EM) algorithm was used to estimate haplotype frequencies, and haplotype-based association analysis was conducted using logistic regression (additive model) for associations with clinicopathological variables and linear regression for associations with expression levels.
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Our tentative model for association of (SQ1A SQ1B 2 quadruplexes into fibers involves partial duplex melting, which allows individual quadruplex units to associate into larger fibers (Figure 5).
Nevertheless, the lines were fitted as a fixed effect in the model for association analyses based on pedigree information.
Since pedigree information indicated the lines had been separated, lines were fitted as a fixed effect in the model for association analyses.
This is a model for Y' association in complete clusters.
The model for association analysis was implemented in the rrBLUP [ 23] package within the R statistical software [ 24].
Since this seems a biologically implausible model for association, we believe that the association at STAT4 probably represents a false positive.
We tested this model for association with BC, PC, cancer, and MET in the literature and found it to be even more enriched than the OI-MET model.
Table 3 presents the multivariable model for association between qualifying lifecourse variables and children's relatively positive PRH at age 5.
The best principal components are achieved with the highest correlation with a given trait and are further used in a logistic regression model for association analysis.
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