standard courses6

Analysis of repeated measures data in epidemiology

The course is intended for researchers who are, or will be, involved in longitudinal epidemiology research. The focus of this course is on the relative strengths and limitations of different statistical analysis approaches for longitudinal data, the interpretation of results, and the types of research questions that can be addressed with each method. No computer-based statistical analysis practical sessions will take place, so no knowledge of any specific statistical software packages is assumed. However, participants should be familiar with standard regression models for continuous and binary outcomes.

 Topics to be covered include:

  • z-scores and life course plots
  • path analysis
  • structured modelling of binary exposures across the life course
  • multi-level models
  • latent class models

 By the end of the course, participants will be able to:

  • Appreciate the range of statistical methods available for the analysis of longitudinal data within life course epidemiology
  • Understand the main strengths and limitations of various statistical methods used for the analysis of longitudinal data
  • Interpret results from various statistical methods used for the analysis of longitudinal data


Presented by: 

Laura Howe is a statistical epidemiologist at the MRC Integrative Epidemiology Unit at the University of Bristol, UK. Her main area of expertise is in the modelling of repeated measures data. For the past 5 years she has worked with the Avon Longitudinal Study of Parents and Children (ALSPAC), where she has used multilevel models to estimate trajectories of child growth, and used these trajectories to explore genetic, socioeconomic and behavioural determinants of child growth, as well as associations between growth and later outcomes. She has also developed trajectories of blood pressure, dietary intake and physical activity, and worked with other cohorts in the UK, Brazil and Portugal to provide advice about the analysis of longitudinal data.



27 November 2013


Wednesday, 10am to 4pm


Centre for Public Health Research
Massey University
Seminar Room, Level 1
102 Adelaide Road


For registration details please contact either:

Katharine Haddock
Associate Professor Barry Borman


Registration costs $225 (includes morning and afternoon tea).


Limited places available