STAT 4400 - Advanced Statistical Modeling Course uri icon



  • Introduces methods, theory and applications of modern statistical models, from linear to hierarchical linear models, to generalized hierarchical linear models, including hierarchical logistic and hierarchical count regression models. Topics such as estimation, residual diagnostics, goodness of fit, transformations, and various strategies for variable selection and model comparison will be discussed in depth. Examples will be demonstrated using statistical programming language R.


  • Dukic, Vanja  
    Primary Instructor - Spring 2020
  • Law, Judith  
    Primary Instructor - Spring 2022 / Spring 2023 / Spring 2024