partial correlation analysis

partial correlation analysis

[′pär·shəl ‚kär·ə′lā·shən ə‚nal·ə·səs]
(statistics)
A technique used to measure the strength of the relationship between the dependent variable and one independent variable in such a way that variations in other independent variables are taken into account.
References in periodicals archive ?
To provide criterion validity for the Spanish version of the NSFS, a partial correlation analysis was performed for each NSFS subscale individually, after controlling for its respective satisfaction or frustration subscale.
Before and after the age correction, the partial correlation analysis was applied between the SUVR mean and the 3 clinical results.
As shown in Figures 1(a) and 1(b), partial correlation coefficient matrices of four groups were calculated using partial correlation analysis. Figure 1 illustrates that color distribution was not uniform for different groups; therefore, partial correlation coefficient was inconsistent.
To investigate the underlying relationship between the changes of functional measurements (i.e., FCS and seed-based FC) and the changes of neuropsychological measurements, as well as PANSS in the MTSZ and UMTSZ groups, we used partial correlation analysis in this study.
Partial correlation analysis was made to eliminate possible biases from age.
Ben-Jacob, "Dominating clasp of the financial sector revealed by partial correlation analysis of the stock market," PLoS ONE, vol.
In addition, the ROI-based correlation analyses with PANSS scores were performed for the two patient groups using a partial correlation analysis while controlling for age and sex.
Considering the effect of different particle sizes of coarse aggregates on mixture performance, partial correlation analysis was applied by the Statistical Product and Service Solutions (SPSS) software, which provides the functions of data management, statistical analysis, chart analysis, and output management.
Partial correlation analysis was used to control diabetes duration and BMI.
Also, results of the simple analysis of correlation (single correlation) to both PiB-mcSUVR and age, and results of partial correlation analysis adjusted for age or PiB-mcSUVR are shown.
Finally, we performed a partial correlation analysis to quantify the impacts of El Nino, PNA, and NAO on cyclone track frequency found in the composite analysis.