We provide novel, high-order accurate methods for non-parametric inference on quantile differences between two populations in both unconditional and conditional settings. These quantile differences ...

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

Gene-environment (G×E) interactions play a crucial role in many complex diseases. Many studies have highlighted the importance of the linear and nonlinear effects of G×E interactions to the risk of ...