Sentence examples for multivariate analysis evaluated from inspiring English sources

24 Secondary analysis Per protocol bivariate and then multivariate analysis evaluated impact (evidence of recent dengue virus infection in the household) of living in intervention sites in the context of other factors that might influence infection, mostly household responses to an administered questionnaire.

Specifically, we characterize broad patterns of morphometric variation using multivariate analysis, evaluate the extent and phylogenetic distribution of cave-associated morphologies, and discuss evolutionary, developmental, and taxonomic implications.

Multivariate analysis evaluating gene expression associated with disease control yields a four-gene model that predicts the likelihood that individual patients with KRAS wt mCRC will respond to cetuximab.

The AUCROC curve in the multivariate analysis evaluating the performance of FF G-CSF in predicting ongoing pregnancy reached 0.77 (0.69–0.83) with a P value of <0.001 indicating a fair discriminatory power.

A multivariate logistic regression analysis evaluated the independent contribution of the variables if p < 0.1, adjusted for total length of hospital stay.

However, the proportional hazards assumption was violated on testing with P<0.05; therefore, multivariate logistic regression analysis evaluated risk of mortality after hospital discharge on the basis of categorical length of stay, while adjusting for covariates in the univariate model.

The results of a multivariate regression analysis evaluating the effect of sweetened beverage intake on uric acid levels are presented in Table  3.

The discriminative ability of variables identified to predict neurological outcome by multivariate analysis was evaluated using receiver operating characteristic (ROC) curves with the corresponding AUC.

In multivariate analysis, we evaluated two models that contained either Child-Pugh class or its components to avoid multicollinearity.

The role of each variable (univariate analysis) or their joint effect (multivariate analysis) was evaluated with Cox's proportional hazard regression.

Next, the risk factors for the development of rebleeding on univariate and/or multivariate analysis were evaluated using the Cox regression model.