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Multivariate models of associations with virological failure included variables associated with poor adherence in univariate analysis adjusted for potential confounders identified a priori.
Before we consider models of associations between variables, let us consider the situation where a single variable Y with possible states present (y) and absent (y̅) is generated by a given phylogenetic tree.
All models of associations of age and risk factors are adjusted for gender.
All models of associations of age and disease conditions are adjusted for gender.
Results for all outcomes from unadjusted and adjusted models of associations were consistent (results not shown).
All models of associations of gender and disease conditions are adjusted for continuous age.
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The SNP-specific Bayes Factors are composite measures that average over statistical models of association that include that SNP while adjusting for other potentially associated SNPs and their genetic parameterizations.
Allele-based models of association were investigated in all genes, and genotype and haplotype-based models were investigated where significant allelic associations were identified.
We fit a variety of models of association between ESR1 variants and breast cancer risk.
Multiple logistic regression analyses further identified different tentative models of association and possible confounding factors.
Here, by limiting our analyses to known AD loci we have the power to assess more complex models of association.
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