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Quadratic predictive equations for the spinal loads at the L4 S1 disc mid-heights are obtained by regression analysis with adequate goodness-of-fit (R2>98%, p<0.05, and low root-mean-squared-error values compared with the range of predicted spine loads).
The dimensionless values for the rate of encapsulation were compared by regression analysis with 20 repetitions (p≤0.05).
The relationship between vascular measures and CRP within the RA group was examined by regression analysis with CRP treated both as a continuous variable and with CRP categorised into tertiles as an ordinal variable.
The relationship between ET-1, Pmo, and EVLWI was evaluated by regression analysis with the Pearson correlation coefficient.
Decision-making was analysed by regression analysis with a panel logit procedure (Camille et al., 2004; Coricelli et al., 2005).
Aspects from the final survey were analysed by regression analysis with the same list of predictors used for the mixed model analysis.
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The suitability of the new model is verified by regression analysis in comparison with the commonly used standard calculations.
Correlations analyzed by regression analysis were done with a simple liner regression model created using the ordinary least-squares method.
A score of the effects of measles, rubella and varicella zoster antibodies (MRZS) was defined by logistic regression analysis with weights for the single antibodies calculated by using the regression coefficients [33].
Specific model to fibromyalgia syndrome patients was calculated by regression analysis and was correlated with the achieved and age-predicted HRMax.
Parameter estimates were determined by performing regression analysis with no intercept option.
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