Sentence examples for using univariate analyses and from inspiring English sources

Intervention and control groups will be compared using univariate analyses and clustered regression analysis.

Associations between patient characteristics and positive ELISPOT and WBAs were examined using univariate analyses and multiple logistic regression models.

The effects of the haplotypes of the serotonergic genes on the different aggression measures were estimated with Restricted Maximum Likelihood (REML) method (Patterson and Thompson 1971), using univariate analyses and an animal model with the VCE4.2.4 software (Groeneveld 1997).

As previously reported, 27 analysis of the baseline data (using univariate analyses and logistic regression to compare all baseline patient characteristics between the two cohorts) indicated that the two treatment cohorts comprised substantially different patient populations (Table 1).

We also used univariate analyses and multivariate stepwise regression models to explore the association between the variables of province-level estimates of peak timing, excess mortality rate, and RR for death and the variables of latitude, population size, population density, and infant mortality rates.

Differences were also evaluated using Univariate analyses of variance and Chi-square test with continuity correction.

The following predisposing factors for hypoglycaemia were identified in this study using univariate analyses: diabetes, CRRT and inotropic combined with vasopressor therapy.

The 3 study arms were compared in terms of changes in FACT-G over time (scores at time 1 minus baseline scores) using univariate analyses of variance and regression analysis.

Clinical and demographic characteristics for the UP and BD groups were compared using univariate analyses (t-tests, Mann–Whitney U and Fisher's exact test).

As expected, using univariate analyses, tumour diameter, tumour multiplicity, and tumour node metastasis (TNM) stage were identified as significant prognostic factors affecting DFS in the training and validation cohorts (Table 2).

Specifically, we examined adaptation levels of the two most common strategies (Switch sleepers and No Sleep) and found significant Genotype X Strategy interactions for four polymorphisms (NPAS2.5, PER3.1, PER3.3, and PER3.6) using univariate analyses (two-way ANOVA; see Figure 5).