Estimating equations are used to develop simple non-iterative estimates of the κ-coefficient that can be used when there are more than two random raters and/or unbalanced data (each subject is not ...

This article considers inference about the variance of coefficients in time-varying parameter models with stationary regressors. The Gaussian maximum likelihood estimator (MLE) has a large point mass ...

Where can I find the random parameter matrix in MLwiN? How do I use this to work out the residual ('unexplained') variance at each level? Variances and covariances are stored in column c1096. (See ...

A convenient summary of the 'importance' of schools is the proportion of the total variance accounted for, which we will call the 'variance partition coefficient' (VPC) given by the formula: and in ...

This section covers Twin and SNP heritability, h2 from whole genome sequencing, non-additive genetic effects and GWAS approaches. To better compare and understand the different approaches and models ...

We continue the exploration of the statistical landscape, including polygenic risk scores (calculation and evaluation), longitudinal models, to conclude on how Statistical Equation Modeling (SEM) can ...