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 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 ...
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...
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 ...
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
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...
First, only the mean values of the continuous scalar interface variables and observable components are relevant for the function of the network and thus for its modularization. The actual distribution of the network states conditioned on these mean values is arbitrary as long as it is consistent wi...
It quantifies the association between two variables: a continuous variable (must be ratio scale or interval scale) and a naturally binary variable. Polychoric Correlation is a measure of agreement between multiple raters for ordinal variables. Interpretation is the same as Pearson’s r. Spearman ...
The particular design effect used in a sample size calculation depends on the specific design (eg, parallel, cross-over, stepped-wedge) and the study outcome (eg, continuous, binary) being used, but all design effects rely on an estimate of the ICC, making it a key parameter in sample ...
Because the autocorrelation function of a second-order cyclostationary signal is transient in time-lag τ and periodic in time t, the corresponding spectral correlation is continuous in f but discrete in α, thus returning a very distinctive signature as illustrated in Fig. A2 for the signal of ...