Analysis of Repeated Measures
Date:
16/06/2027 - 18/06/2027
Organised by:
University of Bristol Medical School Online Short Course Programme
Presenter:
Dr Ahmed Elhakeem, Dr Gemma Clayton and Dr Maria Alejandra Hernandez Velandia
Level:
Intermediate (some prior knowledge)
Contact:
Bristol Medical School Short Course Programme
University of Bristol
short-course@bristol.ac.uk
+ 44 117 455 5987
www.bristol.ac.uk/medical-school-short-courses
Venue: Online
Repeated measures allow researchers to monitor how participants change over time. These repeated measures are correlated and require appropriate statistical modelling. In this course, you will understand when and why repeated measures data require appropriate analysis, and learn methods for analysing longitudinal/repeated continuous data.
This course aims to provide an introduction to methods for analysing longitudinal/repeated continuous data, with a focus on methods for analysing individual trajectories over time. Throughout the course there will be an emphasis on what kinds of research question different types of method can be used to explore, and the interpretation of results.
This course will cover:
- background: Why to collect, and how to analyse longitudinal data?;
- an overview of mixed-effects modelling approach;
- simple linear growth model for continuous outcomes;
- regression spline models for nonlinear trajectories in continuous outcomes; and
- penalised regression splines, SITAR, and latent trajectory models.
Cost:
£630
Website and registration:
Region:
South West
Keywords:
Longitudinal Research , Longitudinal Data Analysis, repeated measures
Related publications and presentations from our eprints archive:
Longitudinal Research
Longitudinal Data Analysis