The Pearson correlation coefficient (PCC) and the Mander's overlap coefficient (MOC) are used to quantify the degree of colocalization between fluorophores. The MOC was introduced to overcome perceived problems with the PCC. The two coefficients are mathematically similar, differing in the use of either the absolute intensities (MOC) or of the deviation from the mean (PCC). A range of correlate...

Methods of testing the equality of conditional correlation of bivariate data across a third variable of interest (covariate) have been studied [9, 10, 11, 12, 13, 14, 15, 16]. Most of these methods, such as the test based on Fisher z-transformation [15], the likelihood ratio tests, and the C(α) statistics [9], are limited to the case where a categorical covariate is considered. When the covaria...

determining landslide size could be a difficult and expensive task. in this research, size parameters of 142 landslides recognized in tajan river basin, northern iran, have been assessed. the dataset was prepared through the extensive field surveys and using the satellite imagery available via google earth. dependence between landslides area (a-m2), volume (v-m3), and depth (d-m) was appointed ...

Associations between two variables, for instance between brain and behavioral measurements, are often studied using correlations, and in particular Pearson correlation. However, Pearson correlation is not robust: outliers can introduce false correlations or mask existing ones. These problems are exacerbated in brain imaging by a widespread lack of control for multiple comparisons, and several i...

In clinical practice, patients' balance can be assessed using standard scales. Two of the most validated clinical tests for measuring balance are the Timed Up and Go (TUG) test and the MultiDirectional Reach Test (MDRT). Nowadays, inertial sensors (IS) are employed for kinematic analysis of functional tests in the clinical setting, and have become an alternative to expensive, 3D optical motion ...