In the multivariate analyses we initially adjusted for age and sex.
In the multivariate analyses we initially adjusted for age and gender.
Adjustments for all these potential confounding factors were made in the multivariate analyses.
Subsequently, we explicate our data, the operationalization of the variables used in the multivariate analyses, and the statistical procedure.
In the multivariate analyses, we were able to adjust for a large number of potential confounding factors.
In the multivariate analyses they included only people with no missing values for any of the variables in the models (n = 26,306).
In the multivariate analyses AJCC stage, tumor grade, patient age, race, and gender were all significant.
In the multivariate analyses only two of the variables were significant.
This is accounted for in the multivariate analyses.
However, we adjusted for calendar period in the multivariate analyses.
In the multivariate analyses, logistic regression was employed.
