Statistical Analysis with the GLIMMIX Procedure

Course code: GLIM42

This course focuses on the GLIMMIX procedure, a procedure for fitting generalized linear mixed models.
1 200 EUR

1 452 EUR including VAT

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Starting date: Upon request

Type: Upon request

Course duration: 14 hours

Language: en

Price without VAT: 1 200 EUR

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Target group

Analysts, statisticians, and researchers

Course structure

Introduction to Generalized Linear Mixed Models and the GLIMMIX Procedure

  • introduction to generalized linear mixed models
  • introduction to the GLIMMIX procedure using logistic regression with random effects

Applications Using the GLIMMIX Procedure

  • Poisson regression with random effects
  • an example of beta regression
  • repeated measures data with discrete response
  • introduction to radial smoothing (self-study)

GLIMMIX Procedure Topics

  • estimation methods used in PROC GLIMMIX
  • processing models by subjects
  • the FIRSTORDER adjustment to the KR degrees of freedom estimation method
  • covariance matrix diagnostics
  • constructed effects using the EFFECT statement
  • processing models by subjects
  • comparison of the GLIMMIX procedure and the NLMIXED procedure
  • comparison of the GLIMMIX procedure and the GENMOD procedure
  • modeling multivariate responses
  • dealing with convergence problems

Prerequisites

Before attending this course, you should have taken
  • SAS Programming 1: Essentials or have equivalent SAS programming experience
  • Mixed Models Analyses Using SAS or have equivalent experience analyzing linear mixed models using the MIXED procedure
  • Categorical Data Analysis Using Logistic Regression or have equivalent experience analyzing categorical response data.
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