Continuous and binary repeated measurementLatent correlationMCMCWithin- and between-subject correlationMODELAGREEMENTCOEFFICIENTConcordance correlation coefficient (CCC) is one of the most popular scaled indices
I ran biserial correlations between continuous and binary variables in SPSS on a large dataset of 762 patients. I correlated 138 regional brain volumes with 7 binary cognitive outcomes to explore the association between regional brain tissue volumes and cognitive impairment. I got pretty low values ...
According to this indicator, we can analyze the similarity between manual and automatic results . Furthermore, each Pearson interpretation that has been presented until now may be applied to continuous evaluations parameters, for instance: r(a, t, tt) where a = cvt. On the other hand, some ...
The dependencies between the five observable components are shown in the graphical model in Fig. 1a. We analyze pairwise correlations of an equivalent network where r is replaced by a binary interface variable y whose expectation, E[y], is proportional to r. By assumption, the expected ...
Continuous data are expressed as means and standard deviations or medians with 25th and 75th percentiles (or interquartile range, IQR) depending on the normality of the distribution. Binary and categorical data are expressed as counts and percentages. For OS analysis, a Kaplan–Meier analysis was...
(2003) and gives the proportion of k nearest neighbours dominated by tree i. The index draws on similarities with the construction of the mingling index, thus transforming a continuous variable into a binary one and also produces only k+1 possible Ui values. A new size-inequality index ...
Correlation coefficients are used to measure how strong a relationship is between two variables. There are several types of correlation coefficient, but the most popular is Pearson’s. Pearson’s correlation (also called Pearson’s R) is a correlation coefficient commonly used in linear regression....
Pearson Correlation Coefficient (r): Measures the strength and direction of a linear relationship between two continuous variables. It ranges from -1 (perfect negative correlation) to 1 (perfect positive correlation), with 0 indicating no linear correlation. ...
Spouses may affect each other’s sleeping behaviour. In 47,420 spouse-pairs from the UK Biobank, we found a weak positive phenotypic correlation between spouses for self-reported sleep duration (r = 0.11; 95% CI = 0.10, 0.12) and a weak inver
The YCbCr color model is usually used for continuous image processing. The Cb and Cr components are the density offset components of blue and red, which are very useful on some occasions with uneven lighting. Because hue has nothing to do with highlights and shadows, it is very effective for...