PURPOSE To evaluate short-term repeatability, intereye correlation, and effect of ocular dominance on macular pigment optical density (MPOD) measurements obtained using the QuantifEye Heterochromatic Flicker Photometer. PATIENTS AND METHODS A total of 72 study participants were enrolled in this prospective, cross-sectional study. Participants underwent a comprehensive ocular evaluation, inclu...

The Pearson correlation coefficient based on the customer relationship clearly illustrate to the product development process. It developed in an association from the customer relationship management process. The CRM should be implemented to the Pearson correlation algorithm. In an existing system is used to implement for a customer association management in an organization process implement for...

In statistics, the Pearson correlation coefficient rx,y determines the degree of linear correlation between two variables and it is known that −1 ≤ rx,y ≤ 1. In the theory of networks, a curious expression proposed in [PRL 89 208701 (2002)] for degree-degree correlation coefficient rji,ki , i ∈ [1,M ] has been in use. We realize that the suggested form is the conventional Pearson’s coefficient ...

objectives: this study aimed to evaluate the psychometric properties of the srt that was performed in 4-6 year-old persian-speaking children. the srt is a nonword repetition task that assesses phonological working memory and was designed by shriberg in 2008. methods: the present research was a non-experimental study with a methodological design. the content validity of the task was evaluated by...

BACKGROUND Health assessment in patients with epilepsy (PWE) should include both clinical outcomes and health related quality of life (HRQOL) measures. The quality of life (QoL) in epilepsy-31 inventory (QOLIE-31) is widely used for QOL studies in epilepsy. This study aims to evaluate psychometrics of the Persian version of the inventory (QOLIE-31-P). METHODS Following a standard forward-back...

Studies of brain-wide functional connectivity or structural covariance typically use measures like the Pearson correlation coefficient, applied to data that have been averaged across voxels within regions of interest (ROIs). However, averaging across voxels may result in biased connectivity estimates when there is inhomogeneity within those ROIs, e.g., sub-regions that exhibit different pattern...

This paper introduces a causation coefficient which is defined in terms of probabilistic causal models. This coefficient is suggested as the natural causal analogue of the Pearson correlation coefficient and permits comparing causation and correlation to each other in a simple, yet rigorous manner. Together, these coefficients provide a natural way to classify the possible correlation/causation...