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bThe crude models include each of the independent variables individually.
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We analyzed data from 3917 allogeneic HCT recipients at multiple sites in the United States and Italy using multivariate models including each biomarker and the HCT-CI.
Models included each SNP individually as well as a SNP × SNP product term.
Multivariate analyses of covariance models included each country's percentage of the population Muslim and percentage of the population Christian.
Univariate models included each job stress variable (demand, control and social support), organizational justice, and psychological distress.
We used multivariable logistic regression to build our predictive models including each variable category in an incremental fashion.
We then used likelihood ratio tests to compare this model with sex adjusted models, including each possible combination of two of the measures.
Results from models including each single factor separately were similar to the results of the models simultaneously adjusting for all factors (Table 3).
In these models, many of the associations between neighborhood-level characteristics and smoking seen in models including each neighborhood-level characteristic individually were attenuated.
Pearson's correlation was used to measure the correlation between plasma and cervical HIV-1 RNA loads; these terms were collinear so they were not included together in any multivariable models and we present alternative models including each separately.
The unadjusted models included each outcome with the following covariates: age, sex, BMI, education, marital and employment status, smoking status, smokeless tobacco use, physical activity, duration of living in the city, family history of diabetes, and wealth index.
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