1
Maternal characteristics and medical history were investigated to evaluate associations with GDM.
2
Background: To evaluate associations between race and breast carcinoma treatment.
3
Methods: Cox proportional hazards regression was used to evaluate associations.
4
A multivariable logistic analysis model was used to evaluate associations.
5
We used univariate and multivariate analyses to evaluate associations between OS and clinical factors.
6
Fisher's exact test was employed to evaluate associations of respondent groups and complication severity.
7
Linear mixed models were constructed to evaluate associations between driving performance and clinical characteristics.
8
Objective: To evaluate associations between psychosocial and social-environmental variables and diabetes self-management, and diabetes control.
9
This study aimed to evaluate associations between clinical and other risk indicators of early periodontitis.
10
We sought to evaluate associations between social relationships and mild cognitive impairment (MCI).
11
Multivariate logistic regression analysis was performed to evaluate associations between attendance and predictors of no-show.
12
Statistical tests: A logistic regression model was used to evaluate associations between MRI predictors with pCR.
13
Generalized linear models were used to evaluate associations between these analytes and reproductive and lifestyle factors.
14
Cox regression models were used to evaluate associations between baseline variables and time to first MACE.
15
Logistic regression was used to evaluate associations between IP characteristics and agreement on diagnosis of CLABSI.
16
This assay may be used to evaluate associations of immune-related markers with CIN and HPV status.
