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Variables with a p-value <0.2 in univariate analysis were included in an initial step for multivariate modelling, followed by stepwise backward removal of all variables with a p-value >0.05 to obtain the final model.
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The multivariate model followed a hierarchical approach from distal to proximal determinants on three levels: [ 1] socio-demographic data; [ 2] health perceptions; and [ 3] oral health problems [ 30].
This paper seeks to overcome these problems by using a multivariate VAR model followed by the Toda and Yamamoto (1995) and Yamada and Toda (1998) method which is expected to improve the standard F-statistics in the causality test procedure.
In the multivariate models, we followed the recommendation of Ledikwe and colleagues to include a variety of calculation methods as well as an EDF-only calculation (Ledikwe et al, 2005).
Expressions of these genes were evaluated for their effect on patient survival first in univariate models, followed by multivariate models with TP53 status as a covariate.
The associations between the risk of overweight plus obesity and the following factors in multivariate models were as follows: (1) the risk increased by approximately 1.2-fold for both genders with family history of obesity.
Generalized mixed effect models followed by a model averaging procedure were applied on weed metrics and permutational multivariate analyses of variance were applied on weed species composition.
Regression analyses were used to examine the degree of association between baseline vitamin D levels and demographic characteristics, fracture type, surgical procedure, and cognitive status - first at the univariate level, followed by multivariate modelling to determine those variables maintaining significance while controlling for all others.
After simultaneous control for risk factors, BMI was the primary contributor of the variation in multivariate models (P < 0.001), followed by age and WBC count (P < 0.001), and family history of diabetes and triglyceride levels (P = 0.12).
All participants with at least one set of follow-up ECC-related outcome data will be included in multivariate modelling.
Comprehensive serum profiling of cytokines followed by multivariate modeling, similar to that performed in this study of murine colitis, may identify a panel of disease-associated predictive biomarkers, particularly in individuals identified by genetic screening as having an increased risk for IBD.
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