18 Frederick Street
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, and 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.
Please note, 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.
The University of Otago now offers Stata SE to all staff and students.
