This is a preview. Log in through your library . Abstract We consider a general class of varying coefficient mixed models where random effects are introduced to account for between-subject variation.

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 ...

Locally Robust Semiparametrically Efficient Bayesian Inference. (Joint with ANDRIY NORETS.) Slides. We propose a framework for making Bayesian parametric models robust to local misspecification.

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 ...

Models to estimate heritability (twin or SNP h2) are typically linear models that can be seen as extensions of the simple linear model between two variables, from which one estimates a correlation.