Sentence examples for using univariate tests and from inspiring English sources
Clinical correlates of EO were analysed using univariate tests and multivariate logistic regression models.
We analyze data from the 2012 California Household Travel Survey using univariate tests and Generalized Structural Equation Models (GSEM) that account for residential self-selection to assess the impacts of various socio-economic and built environment variables on the likelihood to be carless, voluntarily or not.
The similarity of baseline characteristics (socio-demographic characteristics, costs and outcomes) between the two AMK investigation interventions will be examined using univariate tests and Chi-square tests.
The analysis was carried out separately for the left and right oropharynx and nasopharynx and results compared using univariate tests of association (Wilcoxon Rank Sum or Fisher's Exact t test).
Multivariate statistics were used generally, but given the small numbers with placement concerns and poor thesis performance, these were analysed using univariate tests only.
To identify lineages that distinguished between nasopharyngeal and oropharyngeal communities, we compared the abundance of each genus at all four airway sites using univariate tests of association (Wilcoxon Signed Rank or McNemar's test) (Table S2).
The current solution to this problem is to filter the SNPs to a more tractable number using univariate tests or expert knowledge [ 44- 46].
Ulrich et al. observed a high risk of lymphocele in patients with rejection (RR: 1.5, P < 0.01) using univariate testing.
We used univariate tests with a false discovery rate (FDR) correction that adjusts the significance level for multiple tests.
Significant changes in lineage abundance between groups were assessed using univariate statistical tests: Wilcoxon Rank Sum test and Wilcoxon Signed rank test or Fisher's exact test and McNemar's test if the taxon cannot be detected in more than half of the samples from one location.
An initial exploratory analysis will assess the relationship between potential prognostic factors at baseline and outcome using univariate statistical tests.
