Introduction to Generalised Linear Mixed Models using Stata
(online course)
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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 based practicals. The Stata software will be used for practical work and to illustrate analyses in presentations. Presenters Sandro Leidi and James Gallagher Delivery Mode All training is online and will be delivered live each day between 09:00 and 17:30 (GMT+1). Delivery platform: Zoom, which may be freely accessed. Questions may be asked using Zoom's chat box. Note our online courses are delivered by a team of two presenters, meaning at least one presenter is always available to provide additional support. During presentations, the team member who is not speaking can take questions in addition to the presenter. We also use Zoom meetings rather than webinars to encourage further interaction during an online course. 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?
Software Practical work will be done in Stata, and will be based on the Windows operating system. Note StataCorp will provide Statistical Services Centre Ltd with temporary short term licences, for the current version of Stata. These temporary licences will be made available to course participants prior to the course. Extra Information Related courses: Introduction to Linear Mixed Models in Health Research using Stata; Introduction to Linear Mixed Models using R; Introduction to Generalised Linear Mixed Models using R; Linear Mixed Models for Repeated Measures using R. |
Course Dates
3-4 April 2025 Venue: Online Duration: 2 days Price: £558 Apply Now (terms and conditions apply) Return to full course listing |