James Fennessey, The General Linear Model: A New Perspective on Some Familiar Topics, American Journal of Sociology, Vol. 74, No. 1 (Jul., 1968), pp. 1-27 ...

Linear mixed models are increasingly used for the analysis of genome-wide association studies (GWAS) of binary phenotypes because they can efficiently and robustly account for population ...

Parametric versus Semi/nonparametric Regression Models Course Topics Linear models, generalized linear models, and nonlinear models are examples of parametric regression models because we know the ...

Zhou Zhou, Xiaofeng Shao, Inference for linear models with dependent errors, Journal of the Royal Statistical Society. Series B (Statistical Methodology), Vol. 75, No. 2 (MARCH 2013), pp. 323-343 ...

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, ...