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Multivariate analyses evaluated the predictive strength of reforestation pathway, management history, and site characteristics relative to aboveground carbon pools and stand structural complexity.
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Results of the multivariate regression analyses evaluating the effect of weight loss on the change in outcome variables relative to patients who did not lose weight or those who gained weight are shown in Fig. 1.
Using multivariate analyses, we evaluated the roles of landscape position and human development in the presence, composition, and abundance of freshwater macrophyte communities among 60 study lakes located in Vilas County, Wisconsin.
Uni- and multivariate analyses were evaluated using a proportional hazard model (Cox).
Univariate and multivariate analyses were evaluated by a proportional hazard model (Cox).
Univariate and multivariate analyses were evaluated using Cox proportional hazards regression models.
The Cox proportional hazard model was used for the univariate and multivariate analyses to evaluate the variables under the 'Prognostic factors' section to assess their impact on OS and PFS.
Only three studies used multivariate analyses to evaluate the association between race/ethnicity and NVP and they show contradictory results.
It is also one of only a small handful that have used multivariate analyses to evaluate the independent contributions of the variables to the allocation of exemption cards.
We performed multivariate analyses to evaluate the association of analytes that showed some pattern of association with ∑EI, by computing the geometric means of the biomarker (dichotomized above vs. below the ∑EI median) adjusted for age, nonwhite race, being currently pregnant, breast-feeding, body mass index, and smoking.
The results of univariate and multivariate logistic regression analyses evaluating risk factors for a positive LTBI test result are shown in Table 5.
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