Longitudinal analysis
Course Leader: Prof. Peter Diggle
The specific aim of this course is to teach participants a modern approach to the analysis of longitudinal data. Upon completion of this course the participants should have acquired, from lectures and practical classes, the ability to build statistical models for unseen sets of longitudinal data, and to draw valid conclusions from their models.
Longitudinal data arise when a time-sequence of measurements is made on a response variable for each of a number of subjects in an experiment or observational study. For example, a patient's blood pressure may be measured daily following administration of one of several medical treatments for hypertension. Typically, the practical objective of most longitudinal studies is to find out how the average value of the response varies over time, and how this average response profile is affected by different experimental treatments. This course presents an approach to the analysis of longitudinal data, based on statistical modelling and likelihood methods of parameter estimation and hypothesis.
Cost
- Lancaster University staff and postgraduates - £50
- External staff member from an academic institution on a NODE course - £120
- External Postgraduate research student from an academic institution on a NODE course - £60
- External participant from a non academic institution on a NODE course - £440
The course fees include all supporting documentation, refreshments and lunches.
Topics
Particular topics will be:
- Longitudinal data.
- Exploratory and simple analysis strategies.
- Independence working assumption.
- Normal linear model with correlated errors.
- Generalised least squares.
- Repeated measurements ANOVA Random effects models.
- Generalised estimating equations.
- Dealing with dropout.
