Examples of using Partial correlation in English and their translations into Portuguese
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The use of a partial correlation avoids this problem.
The semipartial(or part)correlation statistic is similar to the partial correlation statistic.
The partial correlation was tested with a control on the effect of sex and age.
The correlations between two variables were evaluated by the partial correlation coefficient adjusted for BF% and puberty stage.
Partial correlation coefficients were very similar when elderly subjects are compared to adults Table 4.
The association models were tested using a partial correlation analysis, where age and/or gender were considered the control variables.
Researchers have proposed two different methods able to detect plant mismatch through partial correlation analysis.
After this analysis, the partial correlation coefficient found was of 0,35 for a significance level of p< 0,001.
Nevertheless, there is not enough information and analysis about the influence of the model structures for identification on partial correlation results.
Like the correlation coefficient, the partial correlation coefficient takes on a value in the range from -1 to 1.
This misleading information can be avoided by controlling for the confounding variable,which is done by computing the partial correlation coefficient.
Table 3 presents the coefficients of partial correlation between the anthropometric variables independent and the 1RM workload dependent variable.
The prediction models of 1RM found here were based on the variables that presented the highest partial correlation coefficients with the 1RM load.
Table 5 shows the partial correlation with the distance walked in the 6MWT preoperatively, and the data from the SF-36 QOL questionnaire postoperatively.
Performed a similarstudy with 254 individuals, and through the technique of partial correlation coefficient between the samples, a weak association was found 24.
Partial correlation coefficients between the scores were calculated, with adjustments for age, body mass index(BMI) and schooling in years.
However, an exact t-test based on a combination of the partial regression coefficient, the partial correlation coefficient and the partial variances is available.
The partial correlation consists of the removal of the age effect in the dependent variable distance and in the other independent HR12 through the residues analysis.
To determine which of these two variables were to be included in the model, a partial correlation was performed with body mass index and waist circumference, having log-CRP as the dependent variable.
Age-adjusted partial correlation coefficients were calculated to investigate the association between anthropometric variables and cardiovascular risk factors.
In order to assess the different domains of the SF-36 questionnaire,we performed a partial correlation analysis two after the operation using the distance walked in the 6MWT before the operation.
Partial correlation analyzed the relationship between weekly training load and BMD controlled by sex, chronological age, time of previous practice and somatic maturation.
The relationship between FEF25-75/FVC,% andLVPWT/RLVPWT was tested by partial correlation analysis, adjusted for weight, gender, and SAH, which are traditionally the most important determinants of LV hypertrophy in obesity.
The partial correlation coincides with the conditional correlation if the random variables are jointly distributed as the multivariate normal, other elliptical, multivariate hypergeometric, multivariate negative hypergeometric, multinomial or Dirichlet distribution, but not in general otherwise.
Next, we performed a correlation analysis. The partial correlation analysed the following variables: age, gender, body mass index BMI and the use of beta-blockers preoperatively.
Pearson's partial correlation was used to correlate the dietary variables with systolic and diastolic blood pressure, adjusted for sex, age, total caloric intake TCI, and BMI.
Actually, the nth-order partial correlation(i.e., with|Z| n) can be easily computed from three(n- 1)th-order partial correlations. .
The partial correlation coefficient found between necrosis markers and NT-proBNP levels was evaluated using Pearson's method, adjusted to ejection fraction.
A simple way to compute the sample partial correlation for some data is to solve the two associated linear regression problems, get the residuals, and calculate the correlation between the residuals.
The first-order partial correlation(i.e., when n 1) is the difference between a correlation and the product of the removable correlations divided by the product of the coefficients of alienation of the removable correlations. .
