Multivariate linear mixed models (mvLMMs) are powerful tools for testing associations between single-nucleotide polymorphisms and multiple correlated phenotypes while controlling for population ...

Software development has fundamentally changed in the past 18 months. AI-assisted coding and engineering went from novel and ...

In this module, we will introduce generalized linear models (GLMs) through the study of binomial data. In particular, we will motivate the need for GLMs; introduce the binomial regression model, ...

We propose a two-step estimating procedure for generalized additive partially linear models with clustered data using estimating equations. Our proposed method applies to the case that the number of ...

This is a preview. Log in through your library . Abstract This paper presents a method of bootstrap estimation for the linear model. Rather than resampling from the original sample, as is conventional ...