Continuous and binary repeated measurementLatent correlationMCMCWithin- and between-subject correlationMODELAGREEMENTCOEFFICIENTConcordance correlation coefficient (CCC) is one of the most popular scaled indices used to evaluate agreement. Most commonly, it is used under the assumption that data is normally ...
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 ...
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...
To provide a sense of the effect censoring can have even for nearly ideal data, we will assume X and Y have a continuous bivariate normal distribution. No censoring If x and y each have 0% censoring, then x and y cover the whole of X and Y, respectively, which means x = X and y...
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 ...
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
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....
even if the relationship isn't perfectly linear. The Point-Biserial correlation is used when one variable is continuous and the other is binary. These different methods provide various insights into how assets might interact, emphasizing that correlation, though a useful tool, has its limits in po...
Conclusion Mutations in the TP53 gene can lead to the growth of malignant pulmonary nodules and are correlated with the degree of invasion of malignant pulmonary nodules.Peer Review reports Introduction In the world, due to the continuous development of society, air and environmental pollution problems...