Researchers have determined that the red cell distribution width-to-albumin ratio (RAR), a composite biomarker of systemic ...

Repeated measures data, such as clinical pharmacokinetic data, growth data, and dose-response data, are often inherently nonlinear with respect to a given response function and are frequently ...

The assumption most appropriate for nonlinear relationships estimated on stratified cross-section data (e.g., the Current Population Surveys) is that of independent not identically distributed ...

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 ...

This course offers an introduction to mathematical nonlinear optimization with applications in data science. The theoretical foundation and the fundamental algorithms for nonlinear optimization are ...

This is where regression comes in. By using the regression function `svyglm ()` in R, we can conduct a regression analysis that includes party differences in the same model as race. Using `svyglm ()` ...