Sentence examples for multivariate model these from inspiring English sources

Exact(3)

Variables with a significance level of <0.1 were included in the multivariate model; these were gene expression, pathological tumor and node stage.

After controlling for variables included in our multivariate model, these associations remained significant (home tests: OR = 1.58 (1.01–2.53); PrEP: OR = 2.11 (1.2.11.47)).

After a review of results of the preliminary age-adjusted analyses, a subset of the many variables was selected for inclusion in a multivariate model; these included variables that are established or strongly suspected risk factors for breast cancer that might confound other results and those that were statistically significant in age-adjusted comparisons.

Similar(57)

In multivariate models these variables provide an overall falls risk score, and can predict those at risk of falling with 75% accuracy in community and retirement village settings.

Nevertheless, in multivariate models, these differences appeared to be explained by other independent factors distributed more favourably in the group of states with less permissive legislation but unrelated to constitutional amendment.

Prognosis index for multivariate model with these five cytokines ranged from 0 to 40 in our cohort.

In the multivariate model using these two parameters that showed individual prognostic value, significant interaction was noted between the number of metastatic sites and the ECOG performance status.

A multivariate model including these significant correlates could account for 32% of the variability among the burden experienced by caregivers (R = 0.32).

We do not present the detailed results in this paper to save space, and because we apply the multivariate model to these data below.

Also in a multivariate model with these two factors, the association between PIGF levels at week 12 and OS was statistically significant.

Variables with a P value below 0.10 were retained in the multivariate model, and these retained variables were assessed for collinearity or the presence of significant second-order interactions.

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