STT-868

STT-868
  • MIXED MODELS: THEORY, METHOD & APPLICATIONS

About the Course

  • Maximum likelihood estimation and other estimation methods for linear mixed models. Statistical properties of LME models. Prediction under LME models. Generalized linear mixed models. Quasi-likelihood estimation, generalized estimating equations for GLMM. Nonlinear mixed models. Diagnostics and influence analysis. Bayesian development in mixed linear models. Application of mixed models.
  • Semester: Spring (Every year) Credits: 3
  • Core Course: PhD Biostatistics

Prerequisite

  • STT-867