1D Wavelet and Partial Correlation Application for MS Subgroup Diagnostic Classification

Author(s):  
Yeliz Karaca ◽  
Zafer Aslan ◽  
Abul Hasan Siddiqi
2017 ◽  
Vol 38 (4) ◽  
pp. 203-210 ◽  
Author(s):  
Christopher M. Lootens ◽  
Christopher D. Robertson ◽  
John T. Mitchell ◽  
Nathan A. Kimbrel ◽  
Natalie E. Hundt ◽  
...  

Abstract. The goal of the present investigation was to expand the literature on impulsivity and Cluster B personality disorders (PDs) by conceptualizing impulsivity in a multidimensional manner. Two separate undergraduate samples (n = 223; n = 204) completed measures of impulsivity and Cluster B dimensions. Impulsivity was indeed predictive of Cluster B dimensions and, importantly, each PD scale exhibited a unique impulsivity profile. Findings for borderline PD scores were highly consistent across samples and strongly and positively associated with urgency and lack of perseverance, as expected. Findings for the other PD dimensions also exhibited a fair amount of consistency. Implications of these findings for diagnostic classification and treatment are discussed.


2007 ◽  
Author(s):  
Michael L. Drexler ◽  
Elsie Cheng ◽  
Flora Yuger ◽  
Theresa Rizzo

2018 ◽  
Vol 1 (01) ◽  
pp. 17
Author(s):  
Ramlan Ruvendi

The study was carried out to find out whether there were influence and correlation bet-ween : a) Reward received by the IRDABI’s employees on their job satisfaction. b) style of the leader-ship on the job satisfaction. c) Reward together with style of leadership on the job satisfaction of IR-DABI’s employees.The result of the study showed that there was significant correlation and influence between the reward on the job satisfaction with was shown by the value of partial correlation coefficient of 0.6185 and coefficient of multiple regression for reward variable (β1) of 0.412. The influence of variable for style of leadership on the job satisfaction was also significant with the partial correlation coefficient of 0.5495 and coefficient of multiple regression (β2) of 0.355.In the test of Analysis of Variance (ANOVA) on the equation of multiple regression show that F-value was bigger that F-table (F = 58.97 > F-table = 3.098) or the Probability Value smaller than 0.05. At showed that there was significant correlation and influence between reward variables all together with style of leadership on the job satisfaction of employees. The value of multiple correlation coefficient (R) was 0.751 and R Square (R2) was 0.564. Value of R Square (0.564) meant that 56.5% of variation pro-portion total of job satisfaction can be eliminated of equation of multiple regression was used as the es-timator rather than using average value of job satisfaction as the estimator.


2019 ◽  
Vol 14 (5) ◽  
pp. 376-385 ◽  
Author(s):  
Lin Xu ◽  
Jiangming Huang ◽  
Zhe Zhang ◽  
Jian Qiu ◽  
Yan Guo ◽  
...  

Objective: The purpose of this study was to establish whether Triglycerides (TGs) are related to Blood Pressure (BP) variability and whether controlling TG levels leads to better BP variability management and prevents Cardiovascular Disease (CVD). Methods: In this study, we enrolled 106 hypertensive patients and 80 non-hypertensive patients. Pearson correlation and partial correlation analyses were used to define the relationships between TG levels and BP variability in all subjects. Patients with hypertension were divided into two subgroups according to TG level: Group A (TG<1.7 mmol/L) and Group B (TG>=1.7 mmol/L). The heterogeneity between the two subgroups was compared using t tests and covariance analysis. Results: TG levels and BP variability were significantly different between the hypertensive and non-hypertensive patients. Two-tailed Pearson correlation tests showed that TG levels are positively associated with many BP variability measures in all subjects. After reducing other confounding factors, the partial correlation analysis revealed that TG levels are still related to the Standard Deviation (SD), Coefficient of Variation (CV) of nighttime systolic blood pressure and CV of nighttime diastolic blood pressure, respectively (each p<0.05). In the subgroups, group A had a lower SD of nighttime Systolic Blood Pressure (SBP_night_SD; 11.39±3.80 and 13.39±4.16, p=0.011), CV of nighttime systolic blood pressure (SBP_night_CV; 0.09±0.03 and 0.11±0.03, p=0.014) and average real variability of nighttime systolic blood pressure (SBP_night_ARV; 10.99±3.98 and 12.6±3.95, p=0.024) compared with group B, even after adjusting for age and other lipid indicators. Conclusion: TG levels are significantly associated with BP variability and hypertriglyceridemia, which affects blood pressure variability before causing target organ damage.


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