Ordinary linear regression (OLR) assumes that response variables are continuous. Generalized Linear Models (GLMs) provide an extension to OLR since response variables can be continuous or discrete ...

Some examples of generalized linear models follow. Explanatory variables can be any combination of continuous variables, classification variables, and interactions. Traditional Linear Model response ...

This example illustrates a log-linear model of independence, using data that contain structural zero frequencies as well as sampling (random) zero frequencies. In a population of six squirrel monkeys, ...

Course TopicsLinear models, generalized linear models, and nonlinear models are examples of parametric regression models because we know the function that describes the relationship between the ...

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 ...

Linear and nonlinear programming to optimize the nutrient density of a population's diet: an example based on diets of preschool children in rural Malawi. Am J Clin Nutr 2002; 75 : 245–253.