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Anthropometric data was collected and multivariate regression modelling performed with a view to predicting cervical isometric strength.
Relations between barriers and prescribing behaviour were assessed by means of Spearman rank correlation and multivariate regression modelling.
The efficacy of this intervention on both the primary and secondary outcomes will be assessed using multivariate regression modelling.
Strengths of the study include the selection of a broad spectrum of variables as influencing factors, the use of multivariate regression modelling to assess independent effects and the large sample size.
In multivariate regression modelling the parameter anemia showed the strongest significant relation to long-term outcome, along with established parameters such as age, hemorrhage volume, GCS, IVH, and presence of hemorrhage growth (Table 3A; OR: 3.0; CI (1.31-7.06); P < 0.01).
The data have been shown to be broadly representative of the cities' populations, while all the analyses that were undertaken entailed a multivariate regression modelling component, ensuring that any reported differences between the cities were independent of the characteristics of the survey samples.
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We adjusted for differences between the two patient groups by multivariate regression modeling.
Multivariate regression models examined reported lifetime NSSI.
These models range from simple polynomial to nonlinear and multivariate regression models (Kublin et al. 2008).
These changes yield the so-called multivariate regression model (StatSoft 2013).
build a multivariate regression model including all variables with p < 0.05. .
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