Independence of the variants in relation to common prognostic factors (tumor size, nodal status, primary metastasis, estrogen receptor, progesterone receptor, Her2, p53, Ki67, grade) was evaluated by constructing Cox's multivariate models with SPSS 15.0 backward conditional algorithm.
Even though MEG3, HULC, and UCA1 were all associated with vascular invasion in univariate regression analysis (all P < 0.10), only HULC had a significant association with vascular invasion by multivariate model (OR = 0.648, 95% CI = 0.523 0.803, and P < 0.001).
Independent predictors of perceived age were identified by multivariate modelling.
b Model 1: Multivariate model with individual-level covariates only.
The associations of genotypes with carotid IMT were analyzed by multivariate regression models with adjustment for conventional risk factors (age, sex, diabetes, hypertension, current smoking, body mass index and hypercholesterolemia).
Stat5a protein was further quantified in four archival cohorts totaling 686 patients with clinical outcome data by using multivariate models.
We attempted to control for this by including in our multivariate models measured factors associated with exposure to the intervention, but there may have been other unmeasured factors which could account for both a higher likelihood of intervention exposure and higher condom use.
Eight independent patient-, endoscopist- and endoscopy-related variables were analyzed by a multivariate model to determine their association with CP.
This study evaluated the correlation between the risk of febrile neutropenia (FN) estimated by physicians and the risk of severe neutropenia or FN predicted by a validated multivariate model in patients with nonmyeloid malignancies receiving chemotherapy.
Variables having a p value <0.2 in the univariate analysis were selected and evaluated by multivariate logistic regression models with the conditional forward selection method.
