Statistical Services Centre Ltd
  • Home
  • Training
    • Course Registration
    • Terms and Conditions
    • Bespoke Training
    • Mailing List Request
  • Consultancy
    • Expertise
  • Team
    • James Gallagher
    • Sandro Leidi
    • Cathy Garlick
  • SSC-Stat
  • Get Started
  • Contact us
  • Products
  • Blog

Introduction to Generalised Linear Mixed Models using Stata

Overview
Mixed models have become increasingly popular, as they have many practical applications. However, the traditional linear mixed model with normally distributed errors may not always be appropriate for modelling discrete response variables, such as binary data and counts. Typically these types of responses are analysed using generalised linear models such as logistic regression and Poisson regression.
Commonly-used generalised linear models will be extended to deal with multiple error structures, using a variety of examples generally drawn from medical and health related fields. Specific applications, such as repeated measurements and multi-centre trials will also be considered. For example, investigating the presence or absence of adverse events collected in a multi-centre clinical trial.
The emphasis will be on practical understanding, although an outline of the theory will be presented. Practical examples will be used to illustrate the methods, and participants will have the opportunity to fit and interpret models themselves in hands-on computer practicals. The Stata software will be used for practical work and to illustrate analyses in presentations.

Who Should Attend?
Data analysts and statisticians working in medicine, health and related areas, who wish to have a practical introduction to generalised linear mixed models. It is assumed that participants are Stata users and are familiar with the practical use of generalised linear models and linear mixed models.

How You Will Benefit
You will learn to formulate generalised linear models with both fixed and random effects for a range of practical situations, and how to fit and interpret these models.

What Do We Cover? 
  • Review of generalised linear models for binary and count data
  • Binary and binomial responses: logistic model with mixed effects
  • Count responses: Poisson and negative binomial model with mixed effects
  • Ordered responses: proportional odds model with mixed effects
  • Fitting methods; convergence issues and solutions
  • Inferential procedures
  • Applications such as repeated measurements and multi-centre trials
  • Use of dedicated Stata commands: -meglm-, -melogit-, -mepoisson- and -menbreg-.
Note the course does not cover marginal or GEE type models for repeated measurements.

Software
Practical work may be done in: Stata
Note: For practical work, participants must bring their own laptop with a fully licensed version of the software.

Extra Information
Related courses: Introduction to Linear Mixed Models using Stata; Introduction to Linear Mixed Models using R; Linear Mixed Models; Generalised Linear Mixed Models

Course Dates
Next run to be announced

Duration: 2 days
Price: £TBC

Apply Now
(terms and conditions apply)

Return to full course listing
  • Home
  • Training
    • Course Registration
    • Terms and Conditions
    • Bespoke Training
    • Mailing List Request
  • Consultancy
    • Expertise
  • Team
    • James Gallagher
    • Sandro Leidi
    • Cathy Garlick
  • SSC-Stat
  • Get Started
  • Contact us
  • Products
  • Blog