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Longitudinal modelling - 2-day course

Early Bird Registration = NZD$350.00 (before the 19th June 2023)Standard Registration = NZD$450.00
Public, Postgraduate students, Staff, Alumni
Event type
Short course

A two-day workshop on longitudinal modelling in biostatistics.

This is an intermediate-level statistics course. Check out our other courses in Introduction to Biostatistics for Health Researchers, Stata Software Workshop, and Regression Modelling. Longitudinal studies are common in health-related areas. These studies require appropriate statistical analyses that account for the correlated nature of the data.

This two-day course provides an introduction to a range of common approaches for modelling longitudinal and correlated data.

Topics covered include:

  • Descriptive analysis of longitudinal data
  • Linear mixed models
  • Generalised estimating equations (GEE) for modelling longitudinal data

This course has a strong application focus. You will be learning how to implement these methods using Stata software and interpreting longitudinal results. This course is designed for quantitative researchers/students who need to have a better understanding of longitudinal models in their work. Participants should have either completed the Regression Modelling course offered in the Centre or have equivalent knowledge in regression modelling for both continuous and discrete data AND have either completed the Stata course offered by the Centre or be familiar with using Stata.

Participants must come with their own laptop with Stata software installed, and be able to import data sets, generate new variables and be able to carry out regression analyses using Stata software.

University staff and students may request a free license for Stata.

Request your free license for Strata

The course is presented by Dr Jimmy Zeng, Department of Preventive and Social Medicine.

*GST applies to all credit card payments*

All students who wish to pay by departmental cost code need to email Biostatistics. If you have any questions about the course contents/level, please also email Biostatistics.


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