Introduction to Longitudinal Data Analysis

Two-day Workshop

In this workshop we will examine the theory of longitudinal data analysis and the handling of missing data. Workshop participants will be introduced to these statistical concepts using one of three popular statistical software packages: SPSS, Stata, and R.

This workshop is intended for non-statisticians and statisticians new to the field of longitudinal data analysis.  A basic knowledge of linear regression is assumed.

Workshop Contents

In this workshop we will cover:

  • The differences between independent, clustered, and longitudinal data

  • A review of linear regression and Analysis of Variance

  • Tukey tests (for identifying which groups are different)

  • Levene’s test (for assessing whether the variance differs between groups)

  • The Non-parametric equivalent forms for Analysis of Variance

  • Mixed Effects models (fixed effects for the population means, and random effects for the variation between groups)

  • Hierarchical and multi-level models

  • Viewing longitudinal data as a form of multivariate data

  • Different expressions for the correlation matrix for multivariate data

  • Generalised Estimating Equations

  • Likelihood ratio test (for comparing different correlation structures)

  • The problem with missing data in longitudinal studies

  • Data Missing Completely At Random, Missing At Random, and Missing Not At Random

  • Multiple Imputation

  • Monotone and intermittent missingness

Teaching Style

This workshop uses a combination of two teaching styles:

  • Lectures and classroom discussions

  • Computer exercises

During the lecture sessions the theory of statistics will be presented, and will be discussed in an interactive manner with the class.

Computer Exercises

Each workshop will involve the use of laptop computers. For these sessions participants will be asked to bring their own laptops and will be able to choose which statistical software they would like to use during the workshop. For this workshop, participants will be able to choose which package (R, SPSS, or Stata) they would like to use during individual hands-on exercises throughout the workshop.

Please note that a copy of R will be given to all participants at the start of the workshop, if participants would like to use one of the other software packages then it will be the responsibility of the participant to ensure that they have that software package available on their laptop.

Program Format

The workshop will adhere to the following format. Please note that both teas and lunch are catered on both days, so please be sure to include dietary requirements on your registration form.

Day 1

8:30 - 9:00          Registration
9:00 - 10:30        Lecture 1
10:30 - 11:00      Morning Tea
11:00 - 12:30      Practical 1
12:30 - 1:30        Lunch
1:30 - 3:00          Lecture 2
3:00 - 3:30          Afternoon Tea
3:30 - 5:00          Practical 2

Day 2

9:00 - 10:30        Lecture 3
10:30 - 11:00      Morning Tea
11:00 - 12:30      Practical 3
12:30 - 1:30        Lunch
1:30 - 3:00          Lecture 4
3:00 - 3:30          Afternoon Tea
3:30 - 5:00          Practical 4


Dr Mark Griffin is the Founding Director of Insight Research Services Associated (, and holds academic appointments at the University of Queensland and the University of Sydney. Mark is the Chair of the IIBA Business Analytics Special Interest Group and the IIBA Asia-Pacific Regional Director. Mark also serves on the Executive Committee for the Statistical Society of Australia, and is the Chair of their Section for Business Analytics. Mark has previously taught over 80 two-day workshops and 10 five-day workshops in the fields of Business Analytics and Statistics. Major analytics projects that Mark is or has been involved in include:

  • Mark leads a research group at the University of Queensland conducting analysis of incident reports collated by the Queensland Ambulance Service. The QAS visits approximately 700,000 incidents per year where QAS staff complete a report detailing each incident. This project uses R for text analytics, market segmentation, and spatial mapping (GIS) (2017 to present).

  • Mark is leading a research group at the University of Queensland that are creating an online sample size calculator in R. This software will be used by managers of medical trials who wish to know how many patients to enrol in their trials. This work is being conducted in partnership with research collaborators at Harvard University. This project uses R for developing a web interface and for the mathematical equations involved (2017 to present).

  • Mark has developed software in R for SeqWater (where SeqWater monitors the water quality of all 28 water reservoirs in South-East Queensland). This project uses R for developing a web interface and for statistical analysis using time-series data (2017).

  • Mark led a project team evaluating the delivery of the Positive Parenting Program for the Queensland Department of Communities, Child Safety and Disability Services. This included the collection and analysis of data from 140,000 parents and 1000 practitioners (psychologists) involved in the program. This project used R for statistical analysis and data visualization (2016-2017)