Sentence examples for multivariate analyses utilized from inspiring English sources

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Multivariate analyses utilized those socio-demographic and risk factor indicators that formed univariate associations with a given outcome variable.

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Our analyses utilized descriptive statistics and bivariate and multivariate regression.

Multivariate analyses of covariance were utilized.

The present work utilizes multivariate analyses first to describe a large database of MCCs produced on a commercial scale, including an overview of their physicochemical properties, and secondly to correlate the most significant material attributes with tabletability.

To our knowledge, this study represents the largest analysis of the prognostic value of AB0 blood group status in patients with resected pancreatic cancer published so far and the first to utilize multivariate analyses considering other well-known prognosticators.

Multivariate analyses of covariance (MANCOVAs) were utilized to examine differences in multidimensional scales of the SF-8, with physical activity levels as the between-group factor and age, marital status, household income level, and educational level as covariates.

Associations with VF (HIV-1 RNA >or=400 copies/mL) were determined utilizing bivariable and multivariate analyses; accuracy of current clinical and immunologic guidelines in identifying children with VF was assessed.Of 206 children (median age 8.7 years, ART duration 2.4 years), 65 (31.6%) demonstrated VF at enrollment.

Univariate and multivariate analyses using Cox proportional hazards (PH) regression models were utilized to assess the effect of treatment on time to event [24].

Both of these studies utilized self-report adherence measures and examined results with multivariate analyses.

We developed a model utilizing publicly available inputs, and tested the robustness of the outcome estimates in multivariate analyses.

Multivariate analyses were performed to examine the effects of treatment type adjusting for potential confounding factors (covariates) utilizing the logistic regression analysis of binary outcomes.

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