Examples of 'spearman correlation' in a sentence
Meaning of "spearman correlation"
spearman correlation - Spearman correlation is a statistical method used to measure the strength and direction of a relationship between two variables. It is a non-parametric correlation coefficient, which means it does not assume a linear relationship between the variables. Spearman correlation is often used when the variables being studied do not have a normal distribution or when outliers may exist in the data
How to use "spearman correlation" in a sentence
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spearman correlation
Spearman correlation test was used to correlate among variables.
The relationship between variables was estimated by spearman correlation coefficient.
Spearman correlation analyses were then conducted.
To correlate the instruments we used the spearman correlation coefficient.
The spearman correlation test was used.
The correlation between the two tests was estimated by spearman correlation coefficient and.
The spearman correlation showed significant relationships between salinit.
Descriptive and bivariate association analyzes were performed using the spearman correlation coefficient.
Spearman correlation analysis and multiple regression models were used.
Then for each microarray a median spearman correlation against all other arrays was computed.
Spearman correlation coefficient was applied to establish correlation among relevant variables.
Correlation analyses were performed using a Spearman correlation test.
It was applied the spearman correlation to analyze the relation between the oscillation area an.
Correlations between variables were verified by Spearman correlation coefficient.
Spearman correlation verified a possible correlation between age and the parameters from the study.
See also
The relation between measures was assessed by Spearman correlation coefficient.
The spearman correlation coefficient was used to compare the consensus scores with the gold standard.
The associations between two variables were analyzed by Spearman correlation.
Spearman correlation coefficient was applied to determine the relationship between zinc serum levels and age.
When abnormalities were observed the Spearman correlation test was used.
Spearman correlation was also used to detect any possible relations between different enemy species.
The correlations among quantitative variables were tested by Spearman correlation.
The Spearman correlation test was thus carried out.
The confounding factors were checked by means of a Spearman correlation coefficient.
The Spearman correlation coefficient showed significant correlation p.
Association between quantitative variables was confirmed with Spearman correlation coefficient.
The Spearman correlation coefficient was used for correlations.
Correlations between different variables were assessed by the Spearman correlation coefficient.
The Spearman correlation coefficient was calculated for quantitative variables.
Relationships between quantitative variables were tested using the Spearman correlation coefficient.
The nonparametric Spearman correlation coefficient was used to analyze meteorological data.
Correlations between numerical variables were investigated using the Spearman correlation coefficient.
The Spearman correlation test indicates the dependency between the variables.
The continuous variables correlation was evaluated with the Spearman correlation coefficient.
The Spearman correlation analysis was used to confirm intra and interobserver reliability.
The association between the indicators was determined by the Spearman correlation coefficient.
The Spearman correlation coefficient was also calculated for the numerical variables.
The degree of correlation between variables of interest was verified by the Spearman correlation analysis.
The Spearman correlation coefficient was calculated for the correlation between variables.
The analysis of association among the variables was performed using Spearman correlation test.
This was done by the Spearman correlation coefficient and the test on zero correlation.
The average Hb values were correlated with other variables using the Spearman correlation coefficient.
The Spearman correlation analysis was used to verify the possible associations between methods.
Bivariate correlations were estimated using pairwise Spearman correlation coefficients between the community variables.
The Spearman correlation coefficient was used to identify correlations between two continuous variables.
This relationship is measured by Pearson correlation or Spearman correlation.
Pearson and Spearman correlation coefficients were used as appropriate depending on fulfilment of normality criteria.
Correlations were evaluated either via Pearson or Spearman correlation tests.
The Spearman correlation coefficient was calculated between the quality percentages obtained by the reviewers.
When to do Spearman correlation.
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Spearman coefficient was used for correlation analyses
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Spearman had an unusual background for a psychologist
Examples of using Correlation
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Weak correlation between poverty and unemployment
It also examined the correlation between methods
But correlation is not the same as causation
