Exemplos de uso de Spearman coefficient em Inglês e suas traduções para o Português
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Statistics values correspond to the Spearman coefficient.
Spearman coefficient was used for correlation analyses.
Correlations were analysed with the Spearman coefficient.
The Spearman coefficient was used to analyze potential correlations.
Correlations were investigated using the Spearman coefficient.
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None of these exceeded a Spearman coefficient of 0.2, either positively or negatively.
Correlations were investigated using the Spearman coefficient.
In assessing concurrent validity, the Spearman coefficient for observer A was of 0.88 and for observer B of 0.91 with p.
The correlation between the scales was evaluated through the Spearman coefficient.
For validity analysis,we used the Spearman coefficient and age-adjusted correlation.
The correlation between age andparameters was assessed by the spearman coefficient.
The p-values of the Spearman coefficient were also compared with the p-values obtained by linear regression with correction for the sampling delineation.
The correlation analyses were performed by utilizing the Spearman coefficient.
According to the Spearman coefficient, there was no significant correlation between age and the time of lesion r -0.088; p 0.74 in the 16 study volunteers.
In the case of regional segregation, the Spearman coefficient values are higher.
Data analyzed disclosed that this scale correlates well with the sedation levels of the Comfort-Behavior scale with a Spearman coefficient.
The Spearman coefficient was utilized to analyze the correlation between MGT and BMQ. The Kappa coefficient was used to analyze agreement between the two methods.
This trend of positive ornegative growth was confirmed by Spearman coefficient Table 3.
The correlation between variables was assessed by spearman coefficient and linear regression models were used to evaluate the joint action of the factors in the response variables.
In order tocheck for the correlation among the quantitative variables we used the Spearman Coefficient.
Spearman coefficient between the SXscores calculated by the two interventional cardiologists was 0.902 p< 0.001, and the interobserver agreement between them was 0.94 95% CI: 0.91-0.96.
It is in the Education theme that we find the most relevant negative association with a Spearman coefficient of about -0.13.
For these calculations we employed the Mann-Whitney test and Spearman coefficient, used to evaluate the influence of ABI and classification of clinical severity Rutherford classification.
Repositioning of the needle did not show a correlation with the difference observed in the angles Spearman coefficient of 0.043 and p 0.74.
Spearman coefficient was used to test the correlation between the variables with and without adjustment for the height of participants and between MMSE scores and total trajectory in those two sensory conditions.
To verify the correlation between quantitative variables with normal distribution was used chi-square for non-normal distribution was used the Spearman coefficient.
We used the Spearman coefficient to analyze the correlation between the scale of non-adherence of the WebAd-Q and the viral load log, according to the viral load measure closest to the answer to the questionnaire.
To verify the correlation between the factors of the two scales and between these and numeric variables age, education level, family income,working time in Mental Health Care Services, we used the Spearman coefficient.
To compare hscTnT values between two groups,Mann-Whitney U test was used. In addition, Spearman coefficient was adopted to assess the correlation between age and hscTnT values, and between creatinine clearance and hscTnT values.
Because there is no gold standard for the assessment of sedation in children, and the Comfort-Behavior scale is validated for pediatrics,concurrent validity was tested with the Spearman coefficient comparing assessments of each scale.